Search results for "Interestingness"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
100	Robert J. Hilderman, Howard J. Hamilton	Principles for mining summaries using objective measures of interestingness.	ICTAI	2000	DBLP DOI BibTeX RDF	summary mining, objective measures of interestingness, discovered knowledge ranking, database summaries, granularity levels, comparative sensitivity analysis, data mining, data mining, information theory, economics, database theory, very large databases, ecology, interestingness measures, dataset, diversity measures
85	Tri Thanh Nguyen Le, Hiep Xuan Huynh 0001, Fabrice Guillet	Finding the Most Interesting Association Rules by Aggregating Objective Interestingness Measures.	PKAW	2008	DBLP DOI BibTeX RDF
85	Mondher Maddouri, Jamil Gammoudi	On Semantic Properties of Interestingness Measures for Extracting Rules from Data.	ICANNGA (1)	2007	DBLP DOI BibTeX RDF
85	Hiep Xuan Huynh 0001, Fabrice Guillet, Henri Briand	A Data Analysis Approach for Evaluating the Behavior of Interestingness Measures.	Discovery Science	2005	DBLP DOI BibTeX RDF
85	Miho Ohsaki, Shinya Kitaguchi, Hideto Yokoi, Takahira Yamaguchi	Investigation of Rule Interestingness in Medical Data Mining.	Active Mining	2003	DBLP DOI BibTeX RDF
82	Julien Blanchard 0001, Fabrice Guillet, Régis Gras	Assessing the interestingness of temporal rules with Sequential Implication Intensity.	Statistical Implicative Analysis	2008	DBLP DOI BibTeX RDF	Interestingness Measures for Sequential Rules, Rule Significance, Temporal Data Mining, Event Sequences
75	Munmun De Choudhury, Hari Sundaram, Ajita John, Dorée D. Seligmann	What makes conversations interesting?: themes, participants and consequences of conversations in online social media.	WWW	2009	DBLP DOI BibTeX RDF	themes, social media, conversations, youtube, interestingness
75	Yanchang Zhao, Chengqi Zhang, Shichao Zhang 0001	Discovering Interesting Association Rules by Clustering.	Australian Conference on Artificial Intelligence	2004	DBLP DOI BibTeX RDF	Clustering, Association Rules, Interestingness
74	Deborah R. Carvalho, Alex Alves Freitas, Nelson F. F. Ebecken	Evaluating the Correlation Between Objective Rule Interestingness Measures and Real Human Interest.	PKDD	2005	DBLP DOI BibTeX RDF
70	Einoshin Suzuki	Pitfalls for Categorizations of Objective Interestingness Measures for Rule Discovery.	Statistical Implicative Analysis	2008	DBLP DOI BibTeX RDF	data bias, rule bias, expert bias, search bias, objective interestingness measure, rule discovery
70	Hassan H. Malik, John R. Kender	Clustering web images using association rules, interestingness measures, and hypergraph partitions.	ICWE	2006	DBLP DOI BibTeX RDF	web image clustering, feature selection, association rules, web mining, hypergraphs, interestingness measures
70	Szymon Jaroszewicz, Dan A. Simovici	A General Measure of Rule Interestingness.	PKDD	2001	DBLP DOI BibTeX RDF	Cziszar divergence, distribution, rule, interestingness measure, Kullback-Leibler divergence
67	Bing Liu 0001, Wynne Hsu, Shu Chen, Yiming Ma	Analyzing the Subjective Interestingness of Association Rules.	IEEE Intell. Syst.	2000	DBLP DOI BibTeX RDF	subjective interestingness, interestingness analysis in data mining, association rules
64	Harleen Kaur, Siri Krishan Wasan, Ahmed Sultan Al-Hegami, Vasudha Bhatnagar	A Unified Approach for Discovery of Interesting Association Rules in Medical Databases.	ICDM	2006	DBLP DOI BibTeX RDF	data mining, association rule, Knowledge discovery in databases (KDD), domain knowledge, medical databases, interestingness
63	Xiting Li, Xiuli Ma, Shiwei Tang, Dongqing Yang	Mining Interestingness Sub-cubes in Multi-dimensional Data.	FSKD (5)	2008	DBLP DOI BibTeX RDF
63	Kuralmani Vellaisamy, Jinyan Li 0001	Bayesian Approaches to Ranking Sequential Patterns Interestingness.	PRICAI	2006	DBLP DOI BibTeX RDF
63	Hiep Xuan Huynh 0001, Fabrice Guillet, Henri Briand	Evaluating Interestingness Measures with Linear Correlation Graph.	IEA/AIE	2006	DBLP DOI BibTeX RDF
63	B. Shekar, Rajesh Natarajan	A Transaction-Based Neighbourhood-Driven Approach to Quantifying Interestingness of Association Rules.	ICDM	2004	DBLP DOI BibTeX RDF
63	Attila Gyenesei	Interestingness Measures for Fuzzy Association Rules.	PKDD	2001	DBLP DOI BibTeX RDF
59	Mojdeh Jalali Heravi, Osmar R. Zaïane	A study on interestingness measures for associative classifiers.	SAC	2010	DBLP DOI BibTeX RDF	interestingness measures, associative classifiers
59	Liqiang Geng, Howard J. Hamilton	Interestingness measures for data mining: A survey.	ACM Comput. Surv.	2006	DBLP DOI BibTeX RDF	interest measures, association rules, Knowledge discovery, classification rules, interestingness measures, summaries
59	Bing Liu 0001, Kaidi Zhao, Jeffrey Benkler, Weimin Xiao	Rule interestingness analysis using OLAP operations.	KDD	2006	DBLP DOI BibTeX RDF	diagnostic data mining, general impressions, interestingness analysis, OLAP, class association rules
59	Rajesh Natarajan, B. Shekar	A relatedness-based data-driven approach to determination of interestingness of association rules.	SAC	2005	DBLP DOI BibTeX RDF	relatedness, data mining, association rules, interestingness
59	Benoît Vaillant, Philippe Lenca, Stéphane Lallich	A Clustering of Interestingness Measures.	Discovery Science	2004	DBLP DOI BibTeX RDF	Rule interestingness measure, clustering, experimental study
59	Xiangji Huang 0001, Nick Cercone, Aijun An	Comparison of interestingness functions for learning web usage patterns.	CIKM	2002	DBLP DOI BibTeX RDF	data mining, association rules, web usage mining, sequential patterns, interestingness measures
59	Pang-Ning Tan, Vipin Kumar 0001, Jaideep Srivastava	Selecting the right interestingness measure for association patterns.	KDD	2002	DBLP DOI BibTeX RDF	associations, contingency tables, interestingness measure
56	Taneli Mielikäinen	Implicit Enumeration of Patterns.	KDID	2004	DBLP DOI BibTeX RDF
52	John F. Roddick, Sally Rice	What's Interesting About Cricket? - On Thresholds and Anticipation in Discovered Rules.	SIGKDD Explor.	2001	DBLP DOI BibTeX RDF	cricket statistics, interestingness criteria, knowledge discovery, temporal data mining
51	Einoshin Suzuki	Negative Encoding Length as a Subjective Interestingness Measure for Groups of Rules.	PAKDD	2009	DBLP DOI BibTeX RDF
51	Miho Ohsaki, Hidenao Abe, Shusaku Tsumoto, Hideto Yokoi, Takahira Yamaguchi	Proposal of Medical KDD Support User Interface Utilizing Rule Interestingness Measures.	ICDM Workshops	2006	DBLP DOI BibTeX RDF
51	Julien Blanchard 0001, Fabrice Guillet, Régis Gras, Henri Briand	Using Information-Theoretic Measures to Assess Association Rule Interestingness.	ICDM	2005	DBLP DOI BibTeX RDF
51	B. Shekar, Rajesh Natarajan	A Fuzzy-Graph-Based Approach to the Determination of Interestingness of Association Rules.	PAKM	2002	DBLP DOI BibTeX RDF
51	Robert J. Hilderman, Howard J. Hamilton	Applying Objective Interestingness Measures in Data Mining Systems.	PKDD	2000	DBLP DOI BibTeX RDF
48	Isis Peña, Herna L. Viktor, Eric Paquet	Finding Clothing That Fit through Cluster Analysis and Objective Interestingness Measures.	DaWaK	2009	DBLP DOI BibTeX RDF	relational and 3-D data, classification, feature selection, cluster analysis, interestingness measures, anthropometry, Utility-based data mining
45	Robert J. Hilderman, Howard J. Hamilton	Heuristic for Ranking the Interestigness of Discovered Knowledge.	PAKDD	1999	DBLP DOI BibTeX RDF
41	Szymon Jaroszewicz, Tobias Scheffer, Dan A. Simovici	Scalable pattern mining with Bayesian networks as background knowledge.	Data Min. Knowl. Discov.	2009	DBLP DOI BibTeX RDF	Bayesian network, Association rule, Data stream, Background knowledge, Interestingness
41	Einoshin Suzuki	Compression-Based Measures for Mining Interesting Rules.	IEA/AIE	2009	DBLP DOI BibTeX RDF	J-measure, Data Mining, Rule Discovery, Interestingness measure, Minimum Description Length Principle
40	Jan Rauch	Logical Aspects of the Measures of Interestingness of Association Rules.	Advances in Machine Learning II	2010	DBLP DOI BibTeX RDF
40	Vadeerat Rinsurongkawong, Christoph F. Eick	Change analysis in spatial datasets by interestingness comparison.	ACM SIGSPATIAL Special	2009	DBLP DOI BibTeX RDF	cluster models, region discovery, using polygon to discover changing patterns, spatial data mining, change analysis
40	Céline Hébert, Bruno Crémilleux	A Unified View of Objective Interestingness Measures.	MLDM	2007	DBLP DOI BibTeX RDF
40	Yaohua Chen, Yan Zhao 0001, Yiyu Yao	A Profit-Based Business Model for Evaluating Rule Interestingness.	Canadian AI	2007	DBLP DOI BibTeX RDF
40	Naim Zbidi, Sami Faïz, Mohamed Limam	On Mining Summaries by Objective Measures of Interestingness.	Mach. Learn.	2006	DBLP DOI BibTeX RDF	data mining, association rules, diversity measures
40	Yiyu Yao, Yaohua Chen, Xue Dong Yang	A Measurement-Theoretic Foundation of Rule Interestingness Evaluation.	Foundations and Novel Approaches in Data Mining	2006	DBLP DOI BibTeX RDF
40	Céline Hébert, Bruno Crémilleux	Optimized Rule Mining Through a Unified Framework for Interestingness Measures.	DaWaK	2006	DBLP DOI BibTeX RDF
40	Tolga Aydin, H. Altay Güvenir	Modeling Interestingness of Streaming Classification Rules as a Classification Problem.	TAINN	2005	DBLP DOI BibTeX RDF
40	Tolga Aydin, H. Altay Güvenir	Learning Interestingness of Streaming Classification Rules.	ISCIS	2004	DBLP DOI BibTeX RDF
40	Sigal Sahar	Exploring Interestingness Through Clustering: A Framework.	ICDM	2002	DBLP DOI BibTeX RDF
37	Szymon Jaroszewicz, Dan A. Simovici	Interestingness of frequent itemsets using Bayesian networks as background knowledge.	KDD	2004	DBLP DOI BibTeX RDF	Bayesian network, association rule, knowledge, frequent itemset, background, interestingness
33	Debabrata Dash, Jun Rao, Nimrod Megiddo, Anastasia Ailamaki, Guy M. Lohman	Dynamic faceted search for discovery-driven analysis.	CIKM	2008	DBLP DOI BibTeX RDF
33	Shinichi Hamano, Masako Sato	Semantic Analysis of Association Rules via Item Response Theory.	MLDM	2005	DBLP DOI BibTeX RDF
33	Ahmed Sultan Al-Hegami, Vasudha Bhatnagar, Naveen Kumar 0001	Novelty Framework for Knowledge Discovery in Databases.	DaWaK	2004	DBLP DOI BibTeX RDF
33	Jiuyong Li, Yanchun Zhang	Direct Interesting Rule Generation.	ICDM	2003	DBLP DOI BibTeX RDF
33	Bing Liu 0001, Wynne Hsu, Ke Wang, Shu Chen	Visually Aided Exploration of Interesting Association Rules.	PAKDD	1999	DBLP DOI BibTeX RDF
30	Dan Hu, Hongxing Li, Xianchuan Yu	The information content of rules and rule sets and its application.	Sci. China Ser. F Inf. Sci.	2008	DBLP DOI BibTeX RDF	rule interestingness measure, information content of rules, information content of rule sets, conditional information content of rules and rule sets
30	Benoît Vaillant, Stéphane Lallich, Philippe Lenca	On the behavior of the generalizations of the intensity of implication: A data-driven comparative study.	Statistical Implicative Analysis	2008	DBLP DOI BibTeX RDF	Statistical interestingness measures, intensity of implication, generalized measures
30	Jérôme David, Fabrice Guillet, Henri Briand, Régis Gras	On the use of Implication Intensity for matching ontologies and textual taxonomies.	Statistical Implicative Analysis	2008	DBLP DOI BibTeX RDF	association rule, Ontology alignment, ontology matching, interestingness measure
30	Julien Blanchard 0001, Fabrice Guillet, Henri Briand	Interactive visual exploration of association rules with rule-focusing methodology.	Knowl. Inf. Syst.	2007	DBLP DOI BibTeX RDF	Rule focusing, Neighborhood of rules, Association rules, Knowledge discovery in databases, Interactive visualization, Post-processing, Interestingness measures, Constraint-based mining
30	Lizhen Wang, Junli Lu, Joan Lu, Jim Yip	AOG-ags Algorithms and Applications.	ADMA	2007	DBLP DOI BibTeX RDF	Attribute-oriented generalization (AOG), Concept hierarchy trees, Attributes’ generalization sequences (AGS), Equivalence partition trees, Interestingness of AGS
30	Shiying Huang, Geoffrey I. Webb	Efficiently Identifying Exploratory Rules' Significance.	Selected Papers from AusDM	2006	DBLP DOI BibTeX RDF	Exploratory rule discovery, impact rule, rule significance, interestingness measure
30	Aparna S. Varde, Jianyu Liang, Elke A. Rundensteiner, Richard D. Sisson Jr.	Mining Images of Material Nanostructure Data.	ICDCIT	2006	DBLP DOI BibTeX RDF	Notion of Similarity, Data Visualization, Nanotechnology, Interestingness Measures, Image Mining, Scientific Databases
30	Ines Bouzouita, Samir Elloumi	Efficient Generic Association Rules Based Classifier Approach.	CLA	2006	DBLP DOI BibTeX RDF	Generic Basis, Classifier, Classification Rules, interestingness measures, Associative Classification, Generic association rules
30	Sylvie Guillaume	Ordinal Association Rules towards Association Rules.	DaWaK	2003	DBLP DOI BibTeX RDF	implicative analysis and numeric attributes, Association rules, interestingness measures
30	Sylvie Guillaume	Discovery of Ordinal Association Rules.	PAKDD	2002	DBLP DOI BibTeX RDF	implicative analysis, association rules, interestingness measures, numeric attributes
30	Oliver Hogl, Michael Müller 0004, Herbert Stoyan, Wolf Stühlinger	On Supporting Medical Quality with Intelligent Data Mining.	HICSS	2001	DBLP DOI BibTeX RDF	intelligent data mining, medical quality management, language for business questions, data mining tool, knowledge discovery, interestingness
30	Guozhu Dong, Kaustubh Deshpande	Efficient Mining of Niches and Set Routines.	PAKDD	2001	DBLP DOI BibTeX RDF	set routines, semantic-based selection, Data mining, exceptions, niches, interestingness
29	Jürgen Schmidhuber	Driven by Compression Progress: A Simple Principle Explains Essential Aspects of Subjective Beauty, Novelty, Surprise, Interestingness, Attention, Curiosity, Creativity, Art, Science, Music, Jokes.	ABiALS	2008	DBLP DOI BibTeX RDF
29	Salvatore Greco, Roman Slowinski, Izabela Szczech	Assessing the Quality of Rules with a New Monotonic Interestingness Measure Z.	ICAISC	2008	DBLP DOI BibTeX RDF
29	Raymond K. Pon, Alfonso F. Cardenas, David Buttler, Terence Critchlow	iScore: Measuring the Interestingness of Articles in a Limited User Environment.	CIDM	2007	DBLP DOI BibTeX RDF
29	Jean-Pierre Barthélemy, Angélique Legrain, Philippe Lenca, Benoît Vaillant	Aggregation of Valued Relations Applied to Association Rule Interestingness Measures.	MDAI	2006	DBLP DOI BibTeX RDF
29	Miho Ohsaki, Shinya Kitaguchi, Kazuya Okamoto, Hideto Yokoi, Takahira Yamaguchi	Evaluation of Rule Interestingness Measures with a Clinical Dataset on Hepatitis.	PKDD	2004	DBLP DOI BibTeX RDF
29	Yu Lan, Guoqing Chen, Davy Janssens, Geert Wets	Dilated Chi-Square: A Novel Interestingness Measure to Build Accurate and Compact Decision List.	Intelligent Information Processing	2004	DBLP DOI BibTeX RDF	dilated chi-square, CBA, associative classification
29	Taneli Mielikäinen	Separating Structure from Interestingness.	PAKDD	2004	DBLP DOI BibTeX RDF
29	Miho Ohsaki, Yoshinori Sato, Shinya Kitaguchi, Hideto Yokoi, Takahira Yamaguchi	Comparison between Objective Interestingness Measures and Real Human Interest in Medical Data Mining.	IEA/AIE	2004	DBLP DOI BibTeX RDF
29	Sigal Sahar	On Incorporating Subjective Interestingness Into the Mining Process.	ICDM	2002	DBLP DOI BibTeX RDF
29	Robert J. Hilderman	The Lorenz Dominance Order as a Measure of Interestingness in KDD.	PAKDD	2002	DBLP DOI BibTeX RDF
29	Robert J. Hilderman, Howard J. Hamilton	Evaluation of Interestingness Measures for Ranking Discovered Knowledge.	PAKDD	2001	DBLP DOI BibTeX RDF
22	Izabela Szczech	Multicriteria Attractiveness Evaluation of Decision and Association Rules.	Trans. Rough Sets	2009	DBLP DOI BibTeX RDF
22	Ekta Nankani, Simeon J. Simoff, Sara Denize, Louise Young	Supporting Strategic Decision Making in an Enterprise University Through Detecting Patterns of Academic Collaboration.	UNISCON	2009	DBLP DOI BibTeX RDF	Academic Networks, Collaboration, Social Networks
22	Yongxin Tong, Shilong Ma, Dan Yu, Yuanyuan Zhang, Zhao Li, Ke Xu 0001	Discovering Compatible Top-K Theme Patterns from Text Based on Users' Preferences.	PAISI	2009	DBLP DOI BibTeX RDF
22	Gondy Leroy, Marcelo Fiszman, Thomas C. Rindflesch	The Impact of Directionality in Predications on Text Mining.	HICSS	2008	DBLP DOI BibTeX RDF
22	Yasutaka Kamei, Akito Monden, Shuji Morisaki, Ken-ichi Matsumoto	A hybrid faulty module prediction using association rule mining and logistic regression analysis.	ESEM	2008	DBLP DOI BibTeX RDF	fault-prone module prediction, logistic regression analysis, empirical study, association rule mining
22	Huaifeng Zhang, Yanchang Zhao, Longbing Cao, Chengqi Zhang	Combined Association Rule Mining.	PAKDD	2008	DBLP DOI BibTeX RDF
22	Hangzai Luo, Jianping Fan 0001, Shin'ichi Satoh 0001, William Ribarsky	Large scale news video database browsing and retrieval via information visualization.	SAC	2007	DBLP DOI BibTeX RDF	semantic video classification, video visualization
22	George Zheng, Athman Bouguettaya	A Web Service Mining Framework.	ICWS	2007	DBLP DOI BibTeX RDF
22	Raymond K. Pon, Alfonso F. Cardenas, David Buttler, Terence Critchlow	Tracking multiple topics for finding interesting articles.	KDD	2007	DBLP DOI BibTeX RDF	news filtering, personalization, news recommendation
22	Mirko Böttcher, Martin Spott, Detlef D. Nauck	A Framework for Discovering and Analyzing Changing Customer Segments.	ICDM	2007	DBLP DOI BibTeX RDF
22	Roman Slowinski, Izabela Szczech, Miroslaw Urbanowicz, Salvatore Greco	Mining Association Rules with Respect to Support and Anti-support-Experimental Results.	RSEISP	2007	DBLP DOI BibTeX RDF	Anti-support, Confirmation, Pareto-optimal border, Association rules, Support, Induction, Confidence
22	Hassan H. Malik, John R. Kender	High Quality, Efficient Hierarchical Document Clustering Using Closed Interesting Itemsets.	ICDM	2006	DBLP DOI BibTeX RDF
22	Hangzai Luo, Jianping Fan 0001, Yuli Gao, William Ribarsky, Shin'ichi Satoh 0001	Large-scale news video retrieval via visualization.	ACM Multimedia	2006	DBLP DOI BibTeX RDF	semantic video classification, video visualization
22	Tristan Basa, Christian Anthony L. Go, Kil-Sang Yoo, Won-Hyung Lee	Using Physiological Signals to Evolve Art.	EvoWorkshops	2006	DBLP DOI BibTeX RDF
22	Marko Salmenkivi	Evaluating Attraction in Spatial Point Patterns with an Application in the Field of Cultural History.	ICDM	2004	DBLP DOI BibTeX RDF
22	Xingzhi Sun, Maria E. Orlowska, Xue Li 0001	Finding Negative Event-Oriented Patterns in Long Temporal Sequences.	PAKDD	2004	DBLP DOI BibTeX RDF
22	Shou-De Lin, Hans Chalupsky	Using unsupervised link discovery methods to find interesting facts and connections in a bibliography dataset.	SIGKDD Explor.	2003	DBLP DOI BibTeX RDF
22	Hongjian Fan, Kotagiri Ramamohanarao	Efficiently Mining Interesting Emerging Patterns.	WAIM	2003	DBLP DOI BibTeX RDF
22	Bon K. Sy	Discovering Association Patterns Based on Mutual Information.	MLDM	2003	DBLP DOI BibTeX RDF
22	Xiangji Huang 0001, Fuchun Peng, Aijun An, Dale Schuurmans, Nick Cercone	Session Boundary Detection for Association Rule Learning Using n-Gram Language Models.	AI	2003	DBLP DOI BibTeX RDF
22	Bin Yu 0010, Wei-Ying Ma, Klara Nahrstedt, HongJiang Zhang	Video summarization based on user log enhanced link analysis.	ACM Multimedia	2003	DBLP DOI BibTeX RDF	link analysis, video summarization, user behavior, video content analysis, log mining, skimming
22	Jeannette M. de Graaf, Walter A. Kosters, Jeroen J. W. Witteman	Interesting Fuzzy Association Rules in Quantitative Databases.	PKDD	2001	DBLP DOI BibTeX RDF
22	William DuMouchel, Daryl Pregibon	Empirical bayes screening for multi-item associations.	KDD	2001	DBLP DOI BibTeX RDF	empirical Bayes methods, gamma-Poisson model, market basket problem, shrinkage estimation, Data Mining, Association rules, Knowledge Discovery, Statistical Models
22	Hayato Ohwada, Fumio Mizoguchi	Integrating Information Visualization and Retrieval for Discovering Internet Sources.	Discovery Science	2000	DBLP DOI BibTeX RDF