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[TutsNode.net] - Data Mining Specialization (Size: 7.58 GB) (Files: 1344)
[TutsNode.net] - Data Mining Specialization
data-mining-project
01_orientation
01_orientation
07_data-set-and-toolkit-acquisition_Capstone.ova
07_data-set-and-toolkit-acquisition_yelp_dataset.tar.gz
03_syllabus_1501.02527
06_meta-installation-and-overview_index.html
06_meta-installation-and-overview_analyzers-filters-tutorial.html
06_meta-installation-and-overview_instructions.html
06_meta-installation-and-overview_classmeta_1_1index_1_1disk__index.html
05_updating-your-profile_instructions.html
06_meta-installation-and-overview_setup-guide.html
03_syllabus_vldb15_ael-kishky.pdf
03_syllabus_item.aspx
07_data-set-and-toolkit-acquisition_qs-import-vm.html
01_welcome-to-the-data-mining-project.mp4
06_meta-installation-and-overview_overview-tutorial.html
01_welcome-to-the-data-mining-project.en.srt
03_syllabus_instructions.html
07_data-set-and-toolkit-acquisition_task1PythonTools.zip
07_data-set-and-toolkit-acquisition_topic-models-tutorial.html
01_welcome-to-the-data-mining-project.en.txt
07_data-set-and-toolkit-acquisition_instructions.html
03_syllabus_sigmod15_jliu.pdf
07_data-set-and-toolkit-acquisition_task1JavaTools.zip
04_about-the-discussion-forums_instructions.html
03_syllabus_kdd15_xren.pdf
02_orientation-overview_instructions.html
07_data-set-and-toolkit-acquisition_d3js-multi-line-graph-with-automatic.html
cluster-analysis
04_week-3
03_lesson-5-density-based-and-grid-based-clustering-methods
06_5-5-sting-a-statistical-information-grid-approach_5.5._STING_A_Statistical_Information_Grid_Approach.pdf
07_5-6-clique-grid-based-subspace-clustering.en.srt
02_5-1-density-based-and-grid-based-clustering-methods.en.srt
02_5-1-density-based-and-grid-based-clustering-methods.en.txt
05_5-4-grid-based-clustering-methods.en.txt
06_5-5-sting-a-statistical-information-grid-approach.en.txt
02_5-1-density-based-and-grid-based-clustering-methods_5.1._Density-Based_and_Grid-Based_Clustering_Methods.pdf
07_5-6-clique-grid-based-subspace-clustering.en.txt
04_5-3-optics-ordering-points-to-identify-clustering-structure_5.3._OPTICS_Ordering_Points_To_Identify_Clustering_Structure.
05_5-4-grid-based-clustering-methods_5.4._Grid-Based_Clustering_Methods.pdf
04_5-3-optics-ordering-points-to-identify-clustering-structure.mp4
07_5-6-clique-grid-based-subspace-clustering_5.6._CLIQUE_Grid-Based_Subspace_Clustering.pdf
04_5-3-optics-ordering-points-to-identify-clustering-structure.en.txt
03_5-2-dbscan-a-density-based-clustering-algorithm.mp4
04_5-3-optics-ordering-points-to-identify-clustering-structure.en.srt
07_5-6-clique-grid-based-subspace-clustering.mp4
03_5-2-dbscan-a-density-based-clustering-algorithm.en.srt
05_5-4-grid-based-clustering-methods.en.srt
01_lesson-5-overview_instructions.html
03_5-2-dbscan-a-density-based-clustering-algorithm.en.txt
06_5-5-sting-a-statistical-information-grid-approach.en.srt
03_5-2-dbscan-a-density-based-clustering-algorithm_5.2._DBSCAN_A_Density-Based_Clustering_Algorithm.pdf
06_5-5-sting-a-statistical-information-grid-approach.mp4
05_5-4-grid-based-clustering-methods.mp4
02_5-1-density-based-and-grid-based-clustering-methods.mp4
01_lesson-5-overview_Han_Data_Mining_3e_Chapters_2101113.pdf
01_lesson-4-hierarchical-clustering-methods-continued
02_4-6-cure-clustering-using-well-scattered-representatives_4.6._CURE_Clustering_Using_Well-Scattered_Representatives.pdf
03_4-7-chameleon-graph-partitioning-on-the-knn-graph-of-the-data_4.7._CHAMELEON_Graph_Partitioning_on_the_KNN_Graph_of_the_Data.pd
03_4-7-chameleon-graph-partitioning-on-the-knn-graph-of-the-data.mp4
01_lesson-4-part-2-overview_instructions.html
03_4-7-chameleon-graph-partitioning-on-the-knn-graph-of-the-data.en.srt
04_4-8-probabilistic-hierarchical-clustering.en.srt
03_4-7-chameleon-graph-partitioning-on-the-knn-graph-of-the-data.en.txt
02_4-6-cure-clustering-using-well-scattered-representatives.en.srt
04_4-8-probabilistic-hierarchical-clustering.en.txt
04_4-8-probabilistic-hierarchical-clustering.mp4
02_4-6-cure-clustering-using-well-scattered-representatives.en.txt
02_4-6-cure-clustering-using-well-scattered-representatives.mp4
04_4-8-probabilistic-hierarchical-clustering_4.8._Probabilistic_Hierarchical_Clustering.pdf
01_lesson-4-part-2-overview_Han_Data_Mining_3e_Chapters_2101113.pdf
02_lesson-4-graded-activities
01_lesson-4-quiz_exam.html
04_lesson-5-graded-activities
01_lesson-5-quiz_exam.html
05_week-4
02_week-4-graded-activities
01_lesson-6-quiz_exam.html
02_implementing-clustering-validation-measures_instructions.html
02_implementing-clustering-validation-measures_data.zip
01_lesson-6-methods-for-clustering-validation
09_6-8-relative-measures.en.srt
02_6-1-methods-for-clustering-validation_6.1._Methods_for_Clustering_Validation.pdf
11_6-10-clustering-tendency.en.srt
02_6-1-methods-for-clustering-validation.en.txt
03_6-2-clustering-evaluation-measuring-clustering-quality.en.txt
04_6-3-constraint-based-clustering.en.srt
06_6-5-external-measure-2-entropy-based-measures_6.5._External_Measure_2_Entropy-Based_Measures.pdf
02_6-1-methods-for-clustering-validation.en.srt
03_6-2-clustering-evaluation-measuring-clustering-quality.en.srt
10_6-9-cluster-stability_6.9._Cluster_Stability.pdf
05_6-4-external-measures-1-matching-based-measures.mp4
10_6-9-cluster-stability.en.srt
03_6-2-clustering-evaluation-measuring-clustering-quality_6.2._Clustering_Evaluation_Measuring_Clustering_Quality.pdf
05_6-4-external-measures-1-matching-based-measures_6.4._External_Measures_1_Matching-Based_Measures.pdf
07_6-6-external-measure-3-pairwise-measures_6.6._External_Measure_3_Pairwise_Measures.pdf
04_6-3-constraint-based-clustering.en.txt
09_6-8-relative-measures_6.8._Relative_Measures.pdf
05_6-4-external-measures-1-matching-based-measures.en.srt
01_lesson-6-overview_instructions.html
08_6-7-internal-measures-for-clustering-validation.en.srt
07_6-6-external-measure-3-pairwise-measures.en.srt
06_6-5-external-measure-2-entropy-based-measures.en.srt
08_6-7-internal-measures-for-clustering-validation_6.7._Internal_Measures_for_Clustering_Validation.pdf
10_6-9-cluster-stability.mp4
04_6-3-constraint-based-clustering_6.3._Constraint-Based_Clustering.pdf
11_6-10-clustering-tendency_6.10._Clustering_Tendency.pdf
08_6-7-internal-measures-for-clustering-validation.mp4
06_6-5-external-measure-2-entropy-based-measures.mp4
05_6-4-external-measures-1-matching-based-measures.en.txt
08_6-7-internal-measures-for-clustering-validation.en.txt
06_6-5-external-measure-2-entropy-based-measures.en.txt
07_6-6-external-measure-3-pairwise-measures.en.txt
10_6-9-cluster-stability.en.txt
07_6-6-external-measure-3-pairwise-measures.mp4
09_6-8-relative-measures.en.txt
11_6-10-clustering-tendency.en.txt
11_6-10-clustering-tendency.mp4
09_6-8-relative-measures.mp4
04_6-3-constraint-based-clustering.mp4
03_6-2-clustering-evaluation-measuring-clustering-quality.mp4
02_6-1-methods-for-clustering-validation.mp4
01_lesson-6-overview_Han_Data_Mining_3e_Chapters_2101113.pdf
02_module-1
01_lesson-1-cluster-analysis-an-introduction
02_1-1-what-is-cluster-analysis.en.srt
02_1-1-what-is-cluster-analysis.en.txt
03_1-2-applications-of-cluster-analysis.en.srt
03_1-2-applications-of-cluster-analysis.en.txt
05_1-4-a-multi-dimensional-categorization.en.srt
05_1-4-a-multi-dimensional-categorization.en.txt
04_1-3-requirements-and-challenges.en.txt
03_1-2-applications-of-cluster-analysis_1.2._Applications_of_Cluster_Analysis.pdf
04_1-3-requirements-and-challenges_1.3._Requirements_and_Challenges.pdf
08_1-7-an-overview-of-user-insights-and-clustering_1.7._An_Overview_of_User_Insights_and_Clustering.pdf
05_1-4-a-multi-dimensional-categorization_1.4._A_Multi-Dimensional_Categorization.pdf
07_1-6-an-overview-of-clustering-different-types-of-data_1.6._An_Overview_of_Clustering_Different_Types_of_Data.pdf
01_lesson-1-overview_instructions.html
06_1-5-an-overview-of-typical-clustering-methodologies_1.5._An_Overview_of_Typical_Clustering_Methodologies.pdf
02_1-1-what-is-cluster-analysis_1.1._What_is_Cluster_Analysis.pdf
08_1-7-an-overview-of-user-insights-and-clustering.en.txt
06_1-5-an-overview-of-typical-clustering-methodologies.mp4
07_1-6-an-overview-of-clustering-different-types-of-data.mp4
07_1-6-an-overview-of-clustering-different-types-of-data.en.srt
06_1-5-an-overview-of-typical-clustering-methodologies.en.srt
04_1-3-requirements-and-challenges.en.srt
07_1-6-an-overview-of-clustering-different-types-of-data.en.txt
06_1-5-an-overview-of-typical-clustering-methodologies.en.txt
08_1-7-an-overview-of-user-insights-and-clustering.en.srt
04_1-3-requirements-and-challenges.mp4
08_1-7-an-overview-of-user-insights-and-clustering.mp4
02_1-1-what-is-cluster-analysis.mp4
03_1-2-applications-of-cluster-analysis.mp4
05_1-4-a-multi-dimensional-categorization.mp4
01_lesson-1-overview_Han_Data_Mining_3e_Chapters_2101113.pdf
03_lesson-2-similarity-measures-for-cluster-analysis
02_2-1-basic-concepts-measuring-similarity-between-objects.en.txt
04_2-3-proximity-measure-for-symetric-vs-asymmetric-binary-variables.en.txt
05_2-4-distance-between-categorical-attributes-ordinal-attributes-and-mixed-types.en.txt
06_2-5-proximity-measure-between-two-vectors-cosine-similarity.en.srt
06_2-5-proximity-measure-between-two-vectors-cosine-similarity.en.txt
06_2-5-proximity-measure-between-two-vectors-cosine-similarity_2.5._Proximity_Measure_between_Two_Vectors_Cosine_Similarity.pdf
03_2-2-distance-on-numeric-data-minkowski-distance.en.txt
07_2-6-correlation-measures-between-two-variables-covariance-and-correlation.mp4
03_2-2-distance-on-numeric-data-minkowski-distance.en.srt
05_2-4-distance-between-categorical-attributes-ordinal-attributes-and-mixed-types.en.srt
07_2-6-correlation-measures-between-two-variables-covariance-and-correlation_2.6._Correlation_Measures_between_Two_variables_Cova
04_2-3-proximity-measure-for-symetric-vs-asymmetric-binary-variables_2.3._Proximity_Measure_for_Symetric_vs_Asymmetric_Binary_Var
03_2-2-distance-on-numeric-data-minkowski-distance_2.2_Distance_on_Numeric_Data_Minkowski_Distance.pdf
07_2-6-correlation-measures-between-two-variables-covariance-and-correlation.en.srt
05_2-4-distance-between-categorical-attributes-ordinal-attributes-and-mixed-types_2.4._Distance_between_Categorical_Attributes_Or
01_lesson-2-overview_instructions.html
07_2-6-correlation-measures-between-two-variables-covariance-and-correlation.en.txt
02_2-1-basic-concepts-measuring-similarity-between-objects_2.1._Basic_Concepts_Measuring_Similarity_between_Objects.pdf
03_2-2-distance-on-numeric-data-minkowski-distance.mp4
04_2-3-proximity-measure-for-symetric-vs-asymmetric-binary-variables.en.srt
02_2-1-basic-concepts-measuring-similarity-between-objects.en.srt
04_2-3-proximity-measure-for-symetric-vs-asymmetric-binary-variables.mp4
05_2-4-distance-between-categorical-attributes-ordinal-attributes-and-mixed-types.mp4
02_2-1-basic-concepts-measuring-similarity-between-objects.mp4
06_2-5-proximity-measure-between-two-vectors-cosine-similarity.mp4
01_lesson-2-overview_Han_Data_Mining_3e_Chapters_2101113.pdf
04_week-1-graded-activities
01_lesson-2-quiz_exam.html
02_lesson-1-graded-activities
01_lesson-1-quiz_exam.html
03_week-2
01_lesson-3-partitioning-based-clustering-methods
06_3-5-the-k-medians-and-k-modes-clustering-methods_3.5._The_K-Medians_and_K-Modes_Clustering_Methods.pdf
02_3-1-partitioning-based-clustering-methods_3.1._Partitioning-Based_Clustering_Methods.pdf
07_3-6-kernel-k-means-clustering_3.6._Kernel_K-Means_Clustering.pdf
05_3-4-the-k-medoids-clustering-method.en.txt
04_3-3-initialization-of-k-means-clustering_3.3._Initialization_of_K-Means_Clustering.pdf
02_3-1-partitioning-based-clustering-methods.en.txt
07_3-6-kernel-k-means-clustering.en.srt
03_3-2-k-means-clustering-method_3.2._K-Means_Clustering_Method.pdf
05_3-4-the-k-medoids-clustering-method_3.4._The_K-Medoids_Clustering_Method.pdf
03_3-2-k-means-clustering-method.mp4
03_3-2-k-means-clustering-method.en.srt
07_3-6-kernel-k-means-clustering.mp4
01_lesson-3-overview_instructions.html
05_3-4-the-k-medoids-clustering-method.en.srt
06_3-5-the-k-medians-and-k-modes-clustering-methods.en.srt
03_3-2-k-means-clustering-method.en.txt
05_3-4-the-k-medoids-clustering-method.mp4
07_3-6-kernel-k-means-clustering.en.txt
04_3-3-initialization-of-k-means-clustering.en.srt
06_3-5-the-k-medians-and-k-modes-clustering-methods.en.txt
02_3-1-partitioning-based-clustering-methods.en.srt
04_3-3-initialization-of-k-means-clustering.en.txt
06_3-5-the-k-medians-and-k-modes-clustering-methods.mp4
04_3-3-initialization-of-k-means-clustering.mp4
02_3-1-partitioning-based-clustering-methods.mp4
01_lesson-3-overview_Han_Data_Mining_3e_Chapters_2101113.pdf
03_lesson-4-hierarchical-clustering-methods
06_4-5-birch-a-micro-clustering-based-approach_4.5._BIRCH_A_Micro-Clustering-Based_Approach.pdf
05_4-4-extensions-to-hierarchical-clustering.en.txt
02_4-1-hierarchical-clustering-methods.en.srt
02_4-1-hierarchical-clustering-methods.en.txt
04_4-3-divisive-clustering-algorithms.en.txt
06_4-5-birch-a-micro-clustering-based-approach.en.srt
04_4-3-divisive-clustering-algorithms_4.3._Divisive_Clustering_Algorithms.pdf
04_4-3-divisive-clustering-algorithms.en.srt
02_4-1-hierarchical-clustering-methods_4.1._Hierarchical_Clustering_Methods.pdf
05_4-4-extensions-to-hierarchical-clustering_4.4._Extensions_to_Hierarchical_Clustering.pdf
03_4-2-agglomerative-clustering-algorithms.mp4
03_4-2-agglomerative-clustering-algorithms_4.2._Agglomerative_Clustering_Algorithms.pdf
03_4-2-agglomerative-clustering-algorithms.en.srt
06_4-5-birch-a-micro-clustering-based-approach.mp4
01_lesson-4-part-1-overview_instructions.html
05_4-4-extensions-to-hierarchical-clustering.en.srt
03_4-2-agglomerative-clustering-algorithms.en.txt
06_4-5-birch-a-micro-clustering-based-approach.en.txt
04_4-3-divisive-clustering-algorithms.mp4
05_4-4-extensions-to-hierarchical-clustering.mp4
02_4-1-hierarchical-clustering-methods.mp4
01_lesson-4-part-1-overview_Han_Data_Mining_3e_Chapters_2101113.pdf
04_clustereng
03_clustereng-k-means-and-k-medoids.en.txt
04_clustereng-application-agnes.en.txt
05_clustereng-application-dbscan.en.txt
01_clustereng-introduction_instructions.html
01_clustereng-introduction_index.php
02_clustereng-overview.en.txt
05_clustereng-application-dbscan.en.srt
02_clustereng-overview.en.srt
04_clustereng-application-agnes.en.srt
03_clustereng-k-means-and-k-medoids.en.srt
02_clustereng-overview.mp4
04_clustereng-application-agnes.mp4
03_clustereng-k-means-and-k-medoids.mp4
05_clustereng-application-dbscan.mp4
02_lesson-3-graded-activities
02_implementing-the-k-means-clustering-algorithm_places.txt
01_lesson-3-quiz_exam.html
02_implementing-the-k-means-clustering-algorithm_instructions.html
01_course-orientation
01_about-the-course
04_social-media_illinois.edu
04_social-media_instructions.html
01_course-introduction.en.txt
02_syllabus_instructions.html
02_syllabus_product.jsp
01_course-introduction_0._Course_Introduction.pdf
01_course-introduction.mp4
01_course-introduction.en.srt
03_about-the-discussion-forums_instructions.html
05_orientation-quiz_quiz.html
02_syllabus_Han_Data_Mining_3e_Chapters_2101113.pdf
datavisualization
04_week-3-visualization-of-non-numerical-data
03_lesson-3-2-principal-component-analysis-and-multidimensional-scaling
01_3-2-1-principal-component-analysis.en.srt
01_3-2-1-principal-component-analysis_03-21-pca_V2.pdf
01_3-2-1-principal-component-analysis.mp4
02_3-2-2-multidimensional-scaling.mp4
02_3-2-2-multidimensional-scaling.en.txt
02_3-2-2-multidimensional-scaling.en.srt
01_3-2-1-principal-component-analysis.en.txt
02_3-2-2-multidimensional-scaling_03-22-mds_V2.pdf
02_lesson-3-1-graphs-graph-visualization-and-tree-maps
01_3-1-1-graphs-and-networks_03-11-graphs_V2.pdf
03_3-1-3-graph-visualization.mp4
02_3-1-2-embedding-planar-graphs.mp4
02_3-1-2-embedding-planar-graphs_03-12-planar_graphs_V2.pdf
04_3-1-4-tree-maps.mp4
01_3-1-1-graphs-and-networks.mp4
03_3-1-3-graph-visualization.en.srt
02_3-1-2-embedding-planar-graphs.en.srt
04_3-1-4-tree-maps.en.srt
03_3-1-3-graph-visualization.en.txt
01_3-1-1-graphs-and-networks.en.srt
02_3-1-2-embedding-planar-graphs.en.txt
04_3-1-4-tree-maps.en.txt
01_3-1-1-graphs-and-networks.en.txt
04_3-1-4-tree-maps_03-14-treemap_V2.pdf
03_3-1-3-graph-visualization_03-13-graph_viz_V2.pdf
04_lesson-3-3-packing
01_3-3-1-packing_03-31-packing_V2.pdf
01_3-3-1-packing.mp4
01_3-3-1-packing.en.srt
01_3-3-1-packing.en.txt
01_week-3-information
02_week-3-introduction.en.txt
02_week-3-introduction.en.srt
01_week-3-overview_instructions.html
02_week-3-introduction.mp4
05_week-3-activities
01_programming-assignment-2-visualize-network-data_index.html
03_programming-assignment-2_peer_assignment_instructions.html
01_programming-assignment-2-visualize-network-data_instructions.html
02_programming-assignment-2-rubric_instructions.html
03_week-2-visualization-of-numerical-data
03_lesson-2-2-glyphs-parallel-coordinates-and-stacked-graphs
04_2-2-3-stacked-graphs-part-1_2.2.3-stacked_bar_charts.pdf
05_2-2-3-stacked-graphs-part-2.en.srt
03_2-2-2-parallel-coordinates_2.2.2-parallel_coords.pdf
01_2-2-1-glyphs-part-1_2.2.1-glyphs.pdf
01_2-2-1-glyphs-part-1.en.srt
04_2-2-3-stacked-graphs-part-1.en.txt
03_2-2-2-parallel-coordinates.mp4
05_2-2-3-stacked-graphs-part-2.mp4
03_2-2-2-parallel-coordinates.en.srt
02_2-2-1-glyphs-part-2.mp4
02_2-2-1-glyphs-part-2.en.srt
03_2-2-2-parallel-coordinates.en.txt
04_2-2-3-stacked-graphs-part-1.en.srt
05_2-2-3-stacked-graphs-part-2.en.txt
02_2-2-1-glyphs-part-2.en.txt
01_2-2-1-glyphs-part-1.mp4
01_2-2-1-glyphs-part-1.en.txt
04_2-2-3-stacked-graphs-part-1.mp4
04_lesson-2-3-tuftes-design-rules-and-using-color
02_2-3-2-using-color.en.srt
01_2-3-1-tuftes-design-rules_2.3.1._Tuftes_Design_Rules.pdf
01_2-3-1-tuftes-design-rules.mp4
02_2-3-2-using-color.mp4
02_2-3-2-using-color_2.3.2-Color.pdf
01_2-3-1-tuftes-design-rules.en.srt
01_2-3-1-tuftes-design-rules.en.txt
02_2-3-2-using-color.en.txt
01_week-2-information
02_week-2-introduction.en.txt
01_week-2-overview_instructions.html
02_week-2-introduction.en.srt
02_week-2-introduction.mp4
05_week-2-activities
01_programming-assignment-1-visualize-data-using-a-chart_Programming_Assignment_1_Data_New.zip
01_programming-assignment-1-visualize-data-using-a-chart_Programming_Assignment_Data_-_GISTEMP_Original.zip
01_programming-assignment-1-visualize-data-using-a-chart_d3js-multi-line-graph-with-automatic.html
03_programming-assignment-1_peer_assignment_instructions.html
02_programming-assignment-1-rubric_instructions.html
01_programming-assignment-1-visualize-data-using-a-chart_instructions.html
02_lesson-2-1-data-mapping-and-charts
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01_week-4-information
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01_welcome-to-data-visualization_instructions.html
02_orientation-activities
01_orientation-quiz_exam.html
data-patterns
05_week-4
02_lesson-8-advanced-topics-on-pattern-discovery
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01_lesson-8-overview_instructions.html
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07_lesson-8-quiz_exam.html
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01_lesson-7-pattern-mining-applications-mining-quality-phrases-from-text-data
04_7-3-topmine-phrase-mining-without-training-data.en.txt
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07_mining-contiguous-sequential-patterns-in-text_instructions.html
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02_7-1-from-frequent-pattern-mining-to-phrase-mining.en.srt
02_7-1-from-frequent-pattern-mining-to-phrase-mining.mp4
07_mining-contiguous-sequential-patterns-in-text_reviews_sample.txt
03_module-2
02_lesson-4-mining-diverse-frequent-patterns
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01_lesson-3-overview_instructions.html
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01_lesson-3-overview_Han_Data_Mining_3e_Chapters_167.pdf
04_module-3
01_lesson-5-sequential-pattern-mining
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06_5-5-clospan-mining-closed-sequential-patterns.en.srt
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07_lesson-5-quiz_exam.html
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01_lesson-5-overview_instructions.html
05_5-4-prefixspan-sequential-pattern-mining-by-pattern-growth.en.srt
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03_5-2-gsp-apriori-based-sequential-pattern-mining.mp4
02_lesson-6-pattern-mining-applications-mining-spatiotemporal-and-trajectory
07_lesson-6-quiz_exam.html
05_6-4-mining-semantics-rich-movement-patterns.en.txt
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04_6-3-mining-and-aggregating-patterns-over-multiple-trajectories.en.srt
03_6-2-mining-spatial-colocation-patterns.en.srt
01_lesson-6-overview_instructions.html
06_6-5-mining-periodic-movement-patterns_2016-PD-06-appl1-spatiotemporal_-_5.pdf
06_6-5-mining-periodic-movement-patterns.en.srt
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02_6-1-mining-spatial-associations.mp4
05_6-4-mining-semantics-rich-movement-patterns.mp4
02_module-1
02_lesson-2-efficient-pattern-mining-methods
05_2-4-mining-frequent-patterns-by-exploring-vertical-data-format.en.txt
02_2-1-the-downward-closure-property-of-frequent-patterns_2016-PD-02-pattern-mining-methods_-_1.pdf
07_2-6-mining-closed-patterns_2016-PD-02-pattern-mining-methods_-6.pdf
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08_lesson-2-quiz_exam.html
06_2-5-fpgrowth-a-pattern-growth-approach.mp4
06_2-5-fpgrowth-a-pattern-growth-approach.en.srt
04_2-3-extensions-or-improvements-of-apriori.mp4
01_lesson-2-overview_instructions.html
07_2-6-mining-closed-patterns.en.txt
03_2-2-the-apriori-algorithm.en.srt
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09_frequent-itemset-mining-using-apriori_instructions.html
02_2-1-the-downward-closure-property-of-frequent-patterns.en.srt
03_2-2-the-apriori-algorithm.mp4
02_2-1-the-downward-closure-property-of-frequent-patterns.mp4
07_2-6-mining-closed-patterns.mp4
05_2-4-mining-frequent-patterns-by-exploring-vertical-data-format.mp4
09_frequent-itemset-mining-using-apriori_categories.txt
01_lesson-2-overview_Han_Data_Mining_3e_Chapters_167.pdf
01_lesson-1-pattern-discovery-basic-concepts
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03_1-2-frequent-patterns-and-association-rules_2016-PD-01-basicConcepts_-_2.pdf
05_lesson-1-quiz_exam.html
04_1-3-compressed-representation-closed-patterns-and-max-patterns.en.srt
04_1-3-compressed-representation-closed-patterns-and-max-patterns.mp4
01_lesson-1-overview_instructions.html
03_1-2-frequent-patterns-and-association-rules.en.srt
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03_1-2-frequent-patterns-and-association-rules.en.txt
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01_lesson-1-overview_Han_Data_Mining_3e_Chapters_167.pdf
01_course-orientation
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04_social-media_illinois.edu
02_syllabus_instructions.html
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01_course-introduction.mp4
01_course-introduction.en.srt
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05_orientation-quiz_quiz.html
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04_social-media_instructions.html
02_syllabus_Han_Data_Mining_3e_Chapters_167.pdf
text-retrieval
02_week-1
02_week-1-lessons
01_lesson-1-1-natural-language-content-analysis.mp4
03_lesson-1-3-text-retrieval-problem.mp4
06_lesson-1-6-vector-space-retrieval-model-simplest-instantiation.mp4
06_lesson-1-6-vector-space-retrieval-model-simplest-instantiation_1.6_TR-Vector_Space_Model_Simplest_Instantiation.pdf
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03_week-1-activities
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01_week-1-practice-quiz_quiz.html
01_week-1-information
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04_week-3
04_honors-track-programming-assignment
02_programming-assignment-1_Assignment_1.tar.gz
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02_programming-assignment-1_stemmer.html
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01_programming-assignments-overview_instructions.html
02_week-3-lessons
06_lesson-3-6-evaluation-of-tr-systems-practical-issues.mp4
03_lesson-3-3-evaluation-of-tr-systems-evaluating-ranked-lists-part-1_3.3_Evaluation_of_TR_Systems_-_Evaluating_Ranked_Lists_Part_1.pdf
03_lesson-3-3-evaluation-of-tr-systems-evaluating-ranked-lists-part-1.mp4
06_lesson-3-6-evaluation-of-tr-systems-practical-issues.en.srt
02_lesson-3-2-evaluation-of-tr-systems-basic-measures.mp4
03_lesson-3-3-evaluation-of-tr-systems-evaluating-ranked-lists-part-1.en.srt
04_lesson-3-4-evaluation-of-tr-systems-evaluating-ranked-lists-part-2_3.4_Evaluation_of_TR_Systems_-_Evaluating_Ranked_Lists_Part_2.pdf
02_lesson-3-2-evaluation-of-tr-systems-basic-measures.en.txt
01_lesson-3-1-evaluation-of-tr-systems.mp4
04_lesson-3-4-evaluation-of-tr-systems-evaluating-ranked-lists-part-2.mp4
02_lesson-3-2-evaluation-of-tr-systems-basic-measures.en.srt
05_lesson-3-5-evaluation-of-tr-systems-multi-level-judgements.mp4
04_lesson-3-4-evaluation-of-tr-systems-evaluating-ranked-lists-part-2.en.srt
01_lesson-3-1-evaluation-of-tr-systems.en.srt
05_lesson-3-5-evaluation-of-tr-systems-multi-level-judgements.en.srt
03_lesson-3-3-evaluation-of-tr-systems-evaluating-ranked-lists-part-1.en.txt
06_lesson-3-6-evaluation-of-tr-systems-practical-issues.en.txt
06_lesson-3-6-evaluation-of-tr-systems-practical-issues_3.6_Evaluation_of_TR_Systems_-_Practical_Issues.pdf
05_lesson-3-5-evaluation-of-tr-systems-multi-level-judgements.en.txt
01_lesson-3-1-evaluation-of-tr-systems.en.txt
04_lesson-3-4-evaluation-of-tr-systems-evaluating-ranked-lists-part-2.en.txt
02_lesson-3-2-evaluation-of-tr-systems-basic-measures_3.2_Evaluation_of_TR_Systems_-_Basic_Measures.pdf
05_lesson-3-5-evaluation-of-tr-systems-multi-level-judgements_3.5_Evaluation_of_TR_Systems_-_Multi-Level_Judgements.pdf
01_lesson-3-1-evaluation-of-tr-systems_3.1_Evaluation_of_TR_Systems.pdf
01_week-3-information
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03_week-3-activities
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02_week-3-quiz_exam.html
01_orientation
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02_course-introduction-video.mp4
02_course-introduction-video.en.srt
04_pre-quiz_quiz.html
02_course-introduction-video.en.txt
03_orientation-quiz_exam.html
01_course-welcome-video.en.txt
01_course-welcome-video.en.srt
01_course-welcome-video.mp4
01_about-the-course
05_social-media_illinois.edu
05_social-media_instructions.html
04_updating-your-profile_instructions.html
06_course-errata_instructions.html
02_syllabus_instructions.html
03_about-the-discussion-forums_instructions.html
01_welcome-to-text-retrieval-and-search-engines_instructions.html
03_week-2
02_week-2-lessons
02_lesson-2-2-tf-transformation_2.2_TR-TF_Transformation.pdf
04_lesson-2-4-implementation-of-tr-systems.mp4
03_lesson-2-3-doc-length-normalization.mp4
05_lesson-2-5-system-implementation-inverted-index-construction.mp4
06_lesson-2-6-system-implementation-fast-search.mp4
01_lesson-2-1-vector-space-model-improved-instantiation.mp4
01_lesson-2-1-vector-space-model-improved-instantiation_2.1_TR-Vector_Space_Model_Improve_Instantiation.pdf
05_lesson-2-5-system-implementation-inverted-index-construction.en.srt
01_lesson-2-1-vector-space-model-improved-instantiation.en.srt
04_lesson-2-4-implementation-of-tr-systems.en.srt
03_lesson-2-3-doc-length-normalization.en.srt
06_lesson-2-6-system-implementation-fast-search.en.srt
04_lesson-2-4-implementation-of-tr-systems.en.txt
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03_lesson-2-3-doc-length-normalization.en.txt
03_lesson-2-3-doc-length-normalization_2.3_TR-Doc_Length_Normalization.pdf
05_lesson-2-5-system-implementation-inverted-index-construction.en.txt
06_lesson-2-6-system-implementation-fast-search.en.txt
02_lesson-2-2-tf-transformation.mp4
04_lesson-2-4-implementation-of-tr-systems_2.4_Implementation_of_TR_Systems.pdf
01_lesson-2-1-vector-space-model-improved-instantiation.en.txt
02_lesson-2-2-tf-transformation.en.srt
05_lesson-2-5-system-implementation-inverted-index-construction_2.5_System_Implementation_-_Inverted_Index_Construction.pdf
02_lesson-2-2-tf-transformation.en.txt
03_week-2-activities
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01_week-2-information
01_week-2-overview_instructions.html
07_week-6
02_week-6-lessons
05_lesson-6-5-recommender-systems-content-based-filtering-part-1.en.srt
03_lesson-6-3-learning-to-rank-part-3.en.txt
05_lesson-6-5-recommender-systems-content-based-filtering-part-1.en.txt
10_lesson-6-10-course-summary_6.10_Course_Summary.pdf
04_lesson-6-4-future-of-web-search.mp4
05_lesson-6-5-recommender-systems-content-based-filtering-part-1.mp4
08_lesson-6-8-recommender-systems-collaborative-filtering-part-2.mp4
05_lesson-6-5-recommender-systems-content-based-filtering-part-1_6.5_Recommender_Systems__Content-Based_Filtering.pdf
04_lesson-6-4-future-of-web-search.en.txt
06_lesson-6-6-recommender-systems-content-based-filtering-part-2.mp4
04_lesson-6-4-future-of-web-search.en.srt
02_lesson-6-2-learning-to-rank-part-2.mp4
10_lesson-6-10-course-summary.mp4
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06_lesson-6-6-recommender-systems-content-based-filtering-part-2.en.srt
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01_lesson-6-1-learning-to-rank-part-1_6.1_Learning_to_Rank.pdf
01_lesson-6-1-learning-to-rank-part-1.en.txt
04_lesson-6-4-future-of-web-search_6.4_Future_Web_Search.pdf
06_lesson-6-6-recommender-systems-content-based-filtering-part-2.en.txt
07_lesson-6-7-recommender-systems-collaborative-filtering-part-1.en.srt
10_lesson-6-10-course-summary.en.txt
02_lesson-6-2-learning-to-rank-part-2.en.txt
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09_lesson-6-9-recommender-systems-collaborative-filtering-part-3.en.srt
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03_lesson-6-3-learning-to-rank-part-3.mp4
09_lesson-6-9-recommender-systems-collaborative-filtering-part-3.mp4
04_honors-track-programming-assignment
01_programming-assignment-2_analyzers-filters-tutorial.html
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01_programming-assignment-2_search-tutorial.html
01_programming-assignment-2_Assignment_2.tar.gz
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03_week-6-activities
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01_week-6-information
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06_week-5
02_week-5-lessons
03_lesson-5-3-feedback-in-text-retrieval-feedback-in-lm.mp4
07_lesson-5-7-link-analysis-part-2.mp4
05_lesson-5-5-web-indexing.mp4
03_lesson-5-3-feedback-in-text-retrieval-feedback-in-lm.en.txt
06_lesson-5-6-link-analysis-part-1_5.6_Link_Analysis.pdf
05_lesson-5-5-web-indexing_5.5_Web_Indexing.pdf
02_lesson-5-2-feedback-in-vector-space-model-rocchio.mp4
03_lesson-5-3-feedback-in-text-retrieval-feedback-in-lm.en.srt
05_lesson-5-5-web-indexing.en.srt
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02_lesson-5-2-feedback-in-vector-space-model-rocchio.en.srt
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06_lesson-5-6-link-analysis-part-1.en.srt
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01_lesson-5-1-feedback-in-text-retrieval.en.srt
08_lesson-5-8-link-analysis-part-3.en.srt
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01_lesson-5-1-feedback-in-text-retrieval.en.txt
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01_lesson-5-1-feedback-in-text-retrieval.mp4
04_lesson-5-4-web-search-introduction-web-crawler_5.4_Web_Search.pdf
08_lesson-5-8-link-analysis-part-3.mp4
03_lesson-5-3-feedback-in-text-retrieval-feedback-in-lm_5.3_Feedback_in_Language_Models_for_Retrieval.pdf
01_week-5-information
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03_week-5-activities
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05_week-4
02_week-4-lessons
02_lesson-4-2-statistical-language-model.mp4
02_lesson-4-2-statistical-language-model_4.2_Statistical_Language_Models.pdf
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03_lesson-4-3-query-likelihood-retrieval-function_4.3_Query_Likelihood_Retrieval_Function.pdf
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02_lesson-4-2-statistical-language-model.en.srt
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03_week-4-activities
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01_week-4-information
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text-mining
05_week-4
02_week-4-lessons
08_4-8-text-categorization-methods_TM-29-text-cat-methods.pdf
08_4-8-text-categorization-methods.en.srt
09_4-9-text-categorization-generative-probabilistic-models.en.srt
05_4-5-text-clustering-similarity-based-approaches_TM-26-clustering-similarity.pdf
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02_4-2-text-clustering-generative-probabilistic-models-part-1.en.srt
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03_week-4-activities
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02_5-2-text-categorization-discriminative-classifier-part-2_TM-32-text-cat-discrim-part2.pdf
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03_week-5-activities
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02_week-1
02_week-1-lessons
07_1-7-word-association-mining-and-analysis.en.txt
09_1-9-paradigmatic-relation-discovery-part-2.en.srt
04_1-4-natural-language-content-analysis-part-2.en.srt
03_1-3-natural-language-content-analysis-part-1_TM-4-nlp.pdf
09_1-9-paradigmatic-relation-discovery-part-2.mp4
07_1-7-word-association-mining-and-analysis.mp4
08_1-8-paradigmatic-relation-discovery-part-1.mp4
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07_1-7-word-association-mining-and-analysis.en.srt
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07_1-7-word-association-mining-and-analysis_TM-6-word-relation-corrected.pdf
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04_1-4-natural-language-content-analysis-part-2.mp4
08_1-8-paradigmatic-relation-discovery-part-1_TM-78-para-relation.pdf
09_1-9-paradigmatic-relation-discovery-part-2_TM-78-para-relation_1.pdf
03_week-1-activities
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01_week-1-information
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04_week-3
02_week-3-lessons
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10_3-10-latent-dirichlet-allocation-lda-part-2.mp4
09_3-9-latent-dirichlet-allocation-lda-part-1_TM-21-lda.pdf
01_3-1-probabilistic-topic-models-mixture-of-unigram-language-models.mp4
10_3-10-latent-dirichlet-allocation-lda-part-2_TM-21-lda_1.pdf
04_3-4-probabilistic-topic-models-expectation-maximization-algorithm-part-1.mp4
01_3-1-probabilistic-topic-models-mixture-of-unigram-language-models_TM-17-mixture-model.pdf
07_3-7-probabilistic-latent-semantic-analysis-plsa-part-1_TM-20-plsa.pdf
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