Conferences in DBLP
Russ B. Altman Challenges for knowledge discovery in biology. [Citation Graph (0, 0)][DBLP ] Conf ] Tom M. Mitchell Extracting targeted data from the web. [Citation Graph (0, 0)][DBLP ] Conf ] Raghu Ramakrishnan Mass collaboration and data mining. [Citation Graph (0, 0)][DBLP ] Conf ] Nitin Agrarwal Applications of generalized support vector machines to predictive modeling. [Citation Graph (0, 0)][DBLP ] Conf ] Herb Edelstein Data mining: are we there yet? [Citation Graph (0, 0)][DBLP ] Conf ] Ron Kohavi Mining e-commerce data: the good, the bad, and the ugly. [Citation Graph (0, 0)][DBLP ] Conf ] Amir Netz Data mining platform for database developers. [Citation Graph (0, 0)][DBLP ] Conf ] John Riedl Recommender systems in commerce and community. [Citation Graph (0, 0)][DBLP ] Conf ] Zhiqiang Bi , Christos Faloutsos , Flip Korn The "DGX" distribution for mining massive, skewed data. [Citation Graph (0, 0)][DBLP ] Conf ] Andreas Buja , Yung-Seop Lee Data mining criteria for tree-based regression and classification. [Citation Graph (0, 0)][DBLP ] Conf ] Igor V. Cadez , Padhraic Smyth , Heikki Mannila Probabilistic modeling of transaction data with applications to profiling, visualization, and prediction. [Citation Graph (0, 0)][DBLP ] Conf ] Jens-Peter Dittrich , Bernhard Seeger GESS: a scalable similarity-join algorithm for mining large data sets in high dimensional spaces. [Citation Graph (0, 0)][DBLP ] Conf ] Pedro Domingos , Matt Richardson Mining the network value of customers. [Citation Graph (0, 0)][DBLP ] Conf ] William DuMouchel , Daryl Pregibon Empirical bayes screening for multi-item associations. [Citation Graph (0, 0)][DBLP ] Conf ] Glenn Fung , Olvi L. Mangasarian Proximal support vector machine classifiers. [Citation Graph (0, 0)][DBLP ] Conf ] Jochen Garcke , Michael Griebel Data mining with sparse grids using simplicial basis functions. [Citation Graph (0, 0)][DBLP ] Conf ] Geoff Hulten , Laurie Spencer , Pedro Domingos Mining time-changing data streams. [Citation Graph (0, 0)][DBLP ] Conf ] Eser Kandogan Visualizing multi-dimensional clusters, trends, and outliers using star coordinates. [Citation Graph (0, 0)][DBLP ] Conf ] Eamonn J. Keogh , Selina Chu , Michael J. Pazzani Ensemble-index: a new approach to indexing large databases. [Citation Graph (0, 0)][DBLP ] Conf ] Edwin M. Knorr , Raymond T. Ng , Ruben H. Zamar Robust space transformations for distance-based operations. [Citation Graph (0, 0)][DBLP ] Conf ] Stefan Kramer , Luc De Raedt , Christoph Helma Molecular feature mining in HIV data. [Citation Graph (0, 0)][DBLP ] Conf ] Bing Liu , Yiming Ma , Philip S. Yu Discovering unexpected information from your competitors' web sites. [Citation Graph (0, 0)][DBLP ] Conf ] Balaji Padmanabhan , Zhiqiang Zheng , Steven Orla Kimbrough Personalization from incomplete data: what you don't know can hurt. [Citation Graph (0, 0)][DBLP ] Conf ] Dmitry Pavlov , Padhraic Smyth Probabilistic query models for transaction data. [Citation Graph (0, 0)][DBLP ] Conf ] David M. Pennock , Steve Lawrence , Finn Årup Nielsen , C. Lee Giles Extracting collective probabilistic forecasts from web games. [Citation Graph (0, 0)][DBLP ] Conf ] Agma J. M. Traina , Caetano Traina Jr. , Spiros Papadimitriou , Christos Faloutsos Tri-plots: scalable tools for multidimensional data mining. [Citation Graph (0, 0)][DBLP ] Conf ] Cheng Yang , Usama M. Fayyad , Paul S. Bradley Efficient discovery of error-tolerant frequent itemsets in high dimensions. [Citation Graph (0, 0)][DBLP ] Conf ] Bianca Zadrozny , Charles Elkan Learning and making decisions when costs and probabilities are both unknown. [Citation Graph (0, 0)][DBLP ] Conf ] Richard Adderley , Peter B. Musgrove Data mining case study: modeling the behavior of offenders who commit serious sexual assaults. [Citation Graph (0, 0)][DBLP ] Conf ] Charu C. Aggarwal A human-computer cooperative system for effective high dimensional clustering. [Citation Graph (0, 0)][DBLP ] Conf ] Charu C. Aggarwal , Srinivasan Parthasarathy Mining massively incomplete data sets by conceptual reconstruction. [Citation Graph (0, 0)][DBLP ] Conf ] Sugato Basu , Raymond J. Mooney , Krupakar V. Pasupuleti , Joydeep Ghosh Evaluating the novelty of text-mined rules using lexical knowledge. [Citation Graph (0, 0)][DBLP ] Conf ] Alina Beygelzimer , Chang-Shing Perng , Sheng Ma Fast ordering of large categorical datasets for better visualization. [Citation Graph (0, 0)][DBLP ] Conf ] Ella Bingham , Heikki Mannila Random projection in dimensionality reduction: applications to image and text data. [Citation Graph (0, 0)][DBLP ] Conf ] Doina Caragea , Dianne Cook , Vasant Honavar Gaining insights into support vector machine pattern classifiers using projection-based tour methods. [Citation Graph (0, 0)][DBLP ] Conf ] Chien Chin Chen , Meng Chang Chen , Yeali S. Sun PVA: a self-adaptive personal view agent system. [Citation Graph (0, 0)][DBLP ] Conf ] Tom Chiu , DongPing Fang , John Chen , Yao Wang , Christopher Jeris A robust and scalable clustering algorithm for mixed type attributes in large database environment. [Citation Graph (0, 0)][DBLP ] Conf ] Inderjit S. Dhillon Co-clustering documents and words using bipartite spectral graph partitioning. [Citation Graph (0, 0)][DBLP ] Conf ] Chris H. Q. Ding , Xiaofeng He , Hongyuan Zha A spectral method to separate disconnected and nearly-disconnected web graph components. [Citation Graph (0, 0)][DBLP ] Conf ] David Harel , Yehuda Koren Clustering spatial data using random walks. [Citation Graph (0, 0)][DBLP ] Conf ] Nitin Indurkhya , Sholom M. Weiss Solving regression problems with rule-based ensemble classifiers. [Citation Graph (0, 0)][DBLP ] Conf ] Wen Jin , Anthony K. H. Tung , Jiawei Han Mining top-n local outliers in large databases. [Citation Graph (0, 0)][DBLP ] Conf ] Annaka Kalton , Pat Langley , Kiri Wagstaff , Jungsoon P. Yoo Generalized clustering, supervised learning, and data assignment. [Citation Graph (0, 0)][DBLP ] Conf ] Diane Lambert , José C. Pinheiro Mining a stream of transactions for customer patterns. [Citation Graph (0, 0)][DBLP ] Conf ] Aleksandar Lazarevic , Zoran Obradovic The distributed boosting algorithm. [Citation Graph (0, 0)][DBLP ] Conf ] Dekang Lin , Patrick Pantel Induction of semantic classes from natural language text. [Citation Graph (0, 0)][DBLP ] Conf ] Dekang Lin , Patrick Pantel DIRT @SBT@discovery of inference rules from text. [Citation Graph (0, 0)][DBLP ] Conf ] Bing Liu , Wynne Hsu , Yiming Ma Identifying non-actionable association rules. [Citation Graph (0, 0)][DBLP ] Conf ] Bing Liu , Wynne Hsu , Yiming Ma Discovering the set of fundamental rule changes. [Citation Graph (0, 0)][DBLP ] Conf ] Heikki Mannila , Marko Salmenkivi Finding simple intensity descriptions from event sequence data. [Citation Graph (0, 0)][DBLP ] Conf ] Jonathan Moody , Ricardo Bezerra de Andrade e Silva , Joseph Vanderwaart Data filtering for automatic classification of rocks from reflectance spectra. [Citation Graph (0, 0)][DBLP ] Conf ] Yasuhiko Morimoto Mining frequent neighboring class sets in spatial databases. [Citation Graph (0, 0)][DBLP ] Conf ] Nikunj C. Oza , Stuart J. Russell Experimental comparisons of online and batch versions of bagging and boosting. [Citation Graph (0, 0)][DBLP ] Conf ] Petteri Sevon , Hannu Toivonen , Vesa Ollikainen TreeDT: gene mapping by tree disequilibrium test. [Citation Graph (0, 0)][DBLP ] Conf ] Shashi Shekhar , Chang-Tien Lu , Pusheng Zhang Detecting graph-based spatial outliers: algorithms and applications (a summary of results). [Citation Graph (0, 0)][DBLP ] Conf ] W. Nick Street , YongSeog Kim A streaming ensemble algorithm (SEA) for large-scale classification. [Citation Graph (0, 0)][DBLP ] Conf ] Geoffrey I. Webb Discovering associations with numeric variables. [Citation Graph (0, 0)][DBLP ] Conf ] Kenji Yamanishi , Jun-ichi Takeuchi Discovering outlier filtering rules from unlabeled data: combining a supervised learner with an unsupervised learner. [Citation Graph (0, 0)][DBLP ] Conf ] Jiong Yang , Wei Wang , Philip S. Yu Infominer: mining surprising periodic patterns. [Citation Graph (0, 0)][DBLP ] Conf ] Zijian Zheng , Ron Kohavi , Llew Mason Real world performance of association rule algorithms. [Citation Graph (0, 0)][DBLP ] Conf ] Chidanand Apté , E. Bibelnieks , Ramesh Natarajan , Edwin P. D. Pednault , Fateh Tipu , Deb Campbell , Bryan Nelson Segmentation-based modeling for advanced targeted marketing. [Citation Graph (0, 0)][DBLP ] Conf ] Pavel Berkhin , Jonathan D. Becher , Dee Jay Randall Interactive path analysis of web site traffic. [Citation Graph (0, 0)][DBLP ] Conf ] Piew Datta , James Drew , Andrew Betz , D. R. Mani , Jeffery Howard Estimating business targets. [Citation Graph (0, 0)][DBLP ] Conf ] Charles Elkan Magical thinking in data mining: lessons from CoIL challenge 2000. [Citation Graph (0, 0)][DBLP ] Conf ] Edgar Hotz , Udo Grimmer , W. Heuser , Gholamreza Nakhaeizadeh , M. Wieczorek REVI-MINER, a KDD-environment for deviation detection and analysis of warranty and goodwill cost statements in automotive industry. [Citation Graph (0, 0)][DBLP ] Conf ] Christoph Hueglin , Francesco Vannotti Data mining techniques to improve forecast accuracy in airline business. [Citation Graph (0, 0)][DBLP ] Conf ] Hang Li , Kenji Yamanishi Mining from open answers in questionnaire data. [Citation Graph (0, 0)][DBLP ] Conf ] Teresa Mah , Hank Hoek , Ying Li Funnel report mining for the MSN network. [Citation Graph (0, 0)][DBLP ] Conf ] Saharon Rosset , Einat Neumann , Uri Eick , Nurit Vatnik , Izhak Idan Evaluation of prediction models for marketing campaigns. [Citation Graph (0, 0)][DBLP ] Conf ] W. Scott Spangler , Jeffrey T. Kreulen Knowledge base maintenance using knowledge gap analysis. [Citation Graph (0, 0)][DBLP ] Conf ] Doug Warner , J. Neal Richter , Stephen D. Durbin , Bikramjit Banerjee Mining user session data to facilitate user interaction with a customer service knowledge base in RightNow Web. [Citation Graph (0, 0)][DBLP ] Conf ] Qiang Yang , Henry Haining Zhang , Ian Tian Yi Li Mining web logs for prediction models in WWW caching and prefetching. [Citation Graph (0, 0)][DBLP ] Conf ] 