โ Scribed by Ma, Junshui; Perkins, Simon
No coin nor oath required. For personal study only.
This Conference Brings Together Researchers And Practitioners And Focuses On New Developments In Knowledge Discovery And Data Mining. The Challenge Of Extracting Knowledge From Data Is An Area Of Common Interest To Researchers In Several Fields, Including Statistics, Databases, Pattern Recognition, Machine Learning, Data Visualization, Optimization And High-performance Computing. On-line, Interconnected Systems Offer Unprecedented Opportunities For Discovery And Learning From The Wealth Of Accompanying Data. On-line Science: The World-wide Telescope As A Prototype For The New Computational Science / Jim Gray -- Statistical Learning From Relational Data / Daphne Koller -- Analyzing Customer Behavior At Amazon.com / Andreas S. Weigend -- Towards Systematic Design Of Distance Functions For Data Mining Applications / Charu Aggarwal -- Generative Model-based Clustering Of Directional Data / Arindam Banerjee, Inderjit Dhillon, Joydeep Ghosh And Suvrit Sra -- Minning Distance-based Outliers In Near Linear Time With Randomization And A Simple Pruning Rule / Stephen Bay And Mark Schwabacher -- Adaptive Duplicate Detection Using Learnable String Similarity Measures / Mikhail Bilenko And Raymond Mooney -- An Iterative Hypothesis-testing Strategy For Pattern Discovery / Richard Bolton And Niall Adams -- Efficient Data Reduction With Ease / Herve Bronnimann, Bin Chen, Manoranjan Dash, Peter Haas And Peter Scheuermann -- Extracting Semantics From Data Cubes Using Cube Transversals And Closures / Alain Casali, Rosine Cicchetti And Lotfi Lakhal -- Translation-invariant Mixture Models For Curve Clustering / Darya Chudova, Scott Gaffney, Eric Mjolsnees And Padhraic Smyth -- Information-theoretic Co-clustering / Inderjit Dhillon, Subramanyam Mallela And Darmendra Modha -- Sewep: Using Site Semantics And A Taxonomy To Enhance The Web Personalization Process / Magdalini Eirinaki, Michalis Vazirgiannis And Iraklis Varlamis Inverted Matrix: Efficient Discovery Of Frequent Items In Large Datasets In The Context Of Interactive Mining / Mohammad El-hajj And Osmar Zaiane -- To Buy Or Not To Buy: Mining Airline Fare Data To Minimize Ticket Purchase Price / Oren Etzioni, Craig Knoblock, Rattapoon Tuchinda And Alexander Yates -- Fragments Of Order / Aristides Gionis, Teija Kujala And Heikki Mannila -- Maximizing The Spread Of Influence Through A Social Network / David Kempe, Jon Kleinberg And Eva Tardos -- Proximus: A Framework For Analyzing Very High Dimensional Discrete-attributed Datasets / Mehmet Koyuturk And Ananth Grama -- Visualizing Changes In The Structure Of Data For Exploratory Feature Selection / Elias Pampalk, Werner Goebl And Gerhard Widmer -- Aggregation-based Feature Invention And Relational Concept Classes / Claudia Perlich And Foster Provost -- Cross-training: Learning Probabilistic Mappings Between Topics / Sunita Sarawagi, Soumen Chakrabarti And Shantanu Godbole -- Generating English Summaries Of Time Series Data Using The Gricean Maxims / Somayajulu Sripada, Ehud Reiter, Jim Hunter And Jin Yu -- Assessment And Pruning Of Hierarchical Model Based Clustering / Jeremy Tantrum, Alejandro Murua And Werner Stuetzle -- Privacy-preserving K-means Clustering Over Vertically Partitioned Data / Jaideep Vaidya And Chris Clifton -- Indexing Multi-dimensional Time-series With Support For Multiple Distance Measures / Michail Vlachos, Marios Hadjieleftheriou, Dimitrios Gunopulos And Eamonn Keogh Mining Concept-drifting Data Streams Using Ensemble Classifiers / Haixun Wang, Wei Fan, Philip Yu And Jiawei Han -- Closet+: Searching For The Best Strategies For Mining Frequent Closed Itemsets / Jianyong Wang, Jiawei Han And Jian Pei -- Mining Unexpected Rules By Pushing User Dynamics / Ke Wang, Yuelong Jiang And Laks Lakshmanan -- On Detecting Differences Between Groups / Geoff Webb, Shane Butler And Douglas Newlands -- Algorithms For Estimating Relative Importance In Networks / Scott White And Padhraic Smyth -- Screening And Interpreting Multi-item Associations Based On Log-linear Modeling / Xintao Wu, Daniel Barbara And Yong Ye -- Closegraph: Mining Closed Frequent Graph Patterns / Xifeng Yan And Jiawei Han -- Eliminating Noisy Information In Web Pages For Data Mining / Lan Yi, Bing Liu And Xiaoli Li -- Classifying Large Data Sets Using Svms With Hierarchical Clusters / Hwanjo Yu, Jiong Yang And Jiawel Han -- Xrules: An Effective Structural Classifier For Xml Data / Mohammed Zaki And Charu Aggarwal -- Fast Vertical Mining Using Diffsets / Mohammed Zaki And Karam Gouda -- Efficient Elastic Burst Detection In Data Streams / Yunyue Zhu And Dennis Shasha -- Golden Path Analyzer: Using Divide-and-conquer To Cluster Web Clickstreams / Kamal Ali And Steven P. Ketchpel -- Empirical Bayesian Data Mining For Discovering Patterns In Post-marketing Drug Safety / David M. Fram, June S. Almenoff And William Dumouchel Mining Hepatitis Data With Temporal Abstraction / Tu B. Ho, Trong Dung Nguyen, Saori Kawasaki, Si Q. Le, Dung Duc Nguyen, Hideto Yokoi And Katsuhiko Takabayashi -- Information Awareness: A Prospective Technical Assessment / David Jensen, Matthew Rattigan And Hannah Blau -- The Data Mining Approach To Automated Software Testing / Mark Last, Menahem Friedman And Abraham Kandel -- Passenger-based Predictive Modeling Of Airline No-show Rates / Richard D. Lawrence, Se J. Hong And Jacques Cherrier -- Capturing Best Practice For Microarray Gene Expression Data Analysis / Gregory Piatetsky-shapiro, Tom Khabaza And Sridhar Ramaswamy -- Clinical And Financial Outcomes Analysis With Existing Hospital Patient Records / R. Bharat Rao, Radu S. Niculescu, Colin Germond And Harsha Rao -- Critical Event Prediction For Proactive Management In Large-scale Computer Clusters / R. K. Sahoo, A. J. Oliner, I. Rish, M. Gupta, J. E. Moreira And S. Ma -- Frequent-subsequence-based Prediction Of Outer Membrane Proteins / Rong She, Fei Chen, Ke Wang, Martin Ester, Jennifer L. Gardy And Fiona S. L. Brinkman -- Discovery Of Climate Indices Using Clustering / Michael Steinbach, Pang-ning Tan, Vipin Kumar, Steven Klooster And Christopher Potter -- Knowledge-based Data Mining / Sholom M. Weiss, Stephen J. Buckley, Shubir Kapoor And Soren Damgaard -- The Anatomy Of A Multimodal Information Filter / Yi-leh Wu, King-shy Goh, Beitao Li, Huaxing You And Edward Y. Chang Stylistic Mining Of Electronic Messages For Multiple Authorship Discrimination: First Results / Shlomo Argamon, Marin Saric And Sterling Stein -- Mining High Dimensional Data For Classifier Knowledge / Raj Bhatnagar, Goutham Kurra And Wen Niu -- Finding Recent Frequent Itemsets Adaptively Over Online Data Streams / Joong Hyuk Chang And Won Suk Lee -- Probabilistic Discovery Of Time Series Motifs / Bill Chiu, Eamonn Keogh And Stefano Lonardi -- Understanding Captions In Biomedical Publications / William Cohen, Richard Wang And Robert Murphy -- Using Randomized Response Techniques For Privacy-preserving Data Mining / Wenliang Du And Zhijun Zhan -- Applications Of Sampling And Fractional Factorial Designs To Model-free Data Squashing / William Dumouchel And Deepak K. Agarwal -- Experiments With Random Projections For Machine Learning / Dmitriy Fradkin And David Madigan -- Accurate Decision Trees For Mining High-speed Data Streams / Joao Gama, Ricardo Rocha And Pedro Medas -- Correlating Synchronous And Asynchronous Data Streams / Sudipto Guha, Dimitrios Gunopulos And Nick Koudas -- A Web Page Prediction Model Based On Click-stream Tree Representation Of User Behavior / Sule Gunduz And M. Tamer Ozsu -- Natural Communities In Large Linked Networks / John Hopcroft, Omar Khan, Brian Kulis And Bart Selman -- Navigating Massive Data Sets Via Local Clustering / Michael E. Houle -- Mining Viewpoint Patterns In Image Databases / Wynne Hsu, Jing Dai And Mong Li Lee -- Playing Hide-and-seek With Correlations / Christopher Jermaine Interactive Exploration Of Coherent Patterns In Time-series Gene Expression Data / Daxin Jiang, Jian Pei And Aidong Zhang -- Efficient Decision Tree Construction On Streaming Data / Ruoming Jin And Gagan Agrawal -- A Bag-of-paths Model For Measuring Structural Similarity In Web Documents / Sachindra Joshi, Neeraj Agrawal, Raghu Krishnapuram And Sumit Negi -- Nantonac Collaborative Filtering: Recommendation Based On Order Responses / Toshihiro Kamishima -- A Two-way Visualization Method For Clustered Data / Yehuda Koren And David Harel -- Empirical Comparisons Of Various Voting Methods In Bagging / Kelvin Leung And D. Stott Parker -- Mining Data Records In Web Pages / Bing Liu, Robert Grossman And Yanhong Zhai -- On Computing, Storing And Querying Frequent Patterns / Guimei Liu, Hongjun Lu, Wenwu Lou And Jeffrey Xu Yu -- Online Novelty Detection On Temporal Sequences / Junshui Ma And Simon Perkins -- Distributed Cooperative Mining For Information Consortia / Satoshi Morinaga, Kenji Yamanishi And Jun-ichi Takeuchi -- Learning Relational Probability Trees / Jennifer Neville, David Jensen, Lisa Friedland And Michael Hay -- Graph-based Anomaly Detection / Caleb Noble And Diane Cook -- Carpenter: Finding Closed Patterns In Long Biological Datasets / Feng Pan, Gao Cong, Anthony K. H. Tung, Jiong Yang And Mohammed Zaki -- New Unsupervised Clustering Algorithm For Large Datasets / William Peter, John Chiochetti And Claire Giandina Improving Spatial Locality Programs Via Data Mining / Karlton Sequeira, Mohammed Zaki, Boleslaw Szymanski And Christopher Carothers -- Mining Phenotypes And Informative Genes From Gene Expression Data / Chun Tang, Aidong Zhang And Jian Pei -- Weighted Association Rule Mining Using Weighted Support And Significance Framework / Feng Tao, Fionn Murtagh And Mohsen Farid -- Paintingclass: Interactive Construction, Visualization And Exploration Of Decision Trees / Soon Tee Teoh And Kwan-liu Ma -- Time And Sample Efficient Discovery Of Markov Blankets And Direct Causal Relations / Ioannis Tsamardinos, Constantin F. Aliferis And Alexander Statnikov -- Distributed Multivariate Regression Based On Influential Observations / Hang Yu And Ee-chien Chang -- Efficiently Handling Feature Redundancy In High-dimensional Data / Lei Yu And Huan Liu -- An Adaptive Nearest Neighbor Search For A Parts Acquisition Eportal / Rafael Alonso, Jeffrey A. Bloom, Hua Li And Chumki Basu -- Architecting A Knowledge Discovery Engine For Military Commanders Utilizing Massive Runs Of Simulations / Philip Barry, Jianping Zhang And Mary Mcdonald -- Data Quality Through Knowledge Engineering / Tamraparni Dasu, Gregg T. Vesonder And Jon R. Wright -- Similarity Analysis On Government Regulations / Gloria T. Lau, Kincho H. Law And Gio Wiederhold -- Experimental Design For Solicitation Campaigns / Uwe F. Mayer And Armand Sarkissian -- Towards Nic-based Intrusion Detection / M. Otey, S. Parthasarathy, A. Ghoting, G. Li, S. Narravula And D. Panda Data-driven Validation, Completion And Construction Of Event Relation Networks / Chang-shing Perng, David Thoenen, Sheng Ma, Genady Grabarnik And Joseph Hellerstein -- Visualizing Concept Drift / Kevin B. Pratt And Gleb Tschapek -- Experimental Study Of Discovering Essential Information From Customer Inquiry / Keiko Shimazu, Atsuhito Momma And Koichi Furukawa -- Applying Data Mining In Investigating Money Laundering Crimes / Zhongfei Zhang, John J. Salerno And Philip S. Yu. Edited By Pedro Domingos And Christos Faloutsos, Program Chairs ; General Chair, Ted Senator ; Proceedings Chair, Lise Getoor. Acm Order Number: 618030--t.p. Verso. Includes Bibliographical References And Author Index. Also Available On The World Wide Web Via Acm Digital Library.
๐ SIMILAR VOLUMES
This Conference Brings Together Researchers And Practitioners And Focuses On New Developments In Knowledge Discovery And Data Mining. The Challenge Of Extracting Knowledge From Data Is An Area Of Common Interest To Researchers In Several Fields, Including Statistics, Databases, Pattern Recognition,
This Conference Brings Together Researchers And Practitioners And Focuses On New Developments In Knowledge Discovery And Data Mining. The Challenge Of Extracting Knowledge From Data Is An Area Of Common Interest To Researchers In Several Fields, Including Statistics, Databases, Pattern Recognition,
This Conference Brings Together Researchers And Practitioners And Focuses On New Developments In Knowledge Discovery And Data Mining. The Challenge Of Extracting Knowledge From Data Is An Area Of Common Interest To Researchers In Several Fields, Including Statistics, Databases, Pattern Recognition,