• 
  John Wang (Ed.): Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes). IGI Global 2009 ISBN 9781605660103

A

• 
  Zbigniew W. Ras, Elzbieta Wyrzykowska, Li-Shiang Tsay: Action Rules Mining. 1-5
• 
  Ion Muslea: Active Learning with Multiple Views. 6-11
• 
  Xueping Li: Adaptive Web Presence and Evolution through Web Log Analysis. 12-17
• 
  Hadrian Peter: Aligning the Warehouse and the Web. 18-24
• 
  Dan Zhu: Analytical Competition for Managing Customer Relations. 25-30
• 
  Chun-Che Huang, Tzu-Liang Tseng: Analytical Knowledge Warehousing for Business Intelligence. 31-38
• 
  Lisa Friedland: Anomaly Detection for Inferring Social Structure. 39-44
• 
  J. Schafer: The Application of Data-Mining to Recommender Systems. 45-50
• 
  Gustavo Camps-Valls, Manel Martínez-Ramón, José Luis Rojo-Álvarez: Applications of Kernel Methods. 51-57
• 
  Sandra Elizabeth González Císaro: Architecture for Symbolic Object Warehouse. 58-65
• 
  Wenxue Huang, Milorad Krneta, Limin Lin, Jianhong Wu: Association Bundle Identification. 66-70
• 
  Vassilios S. Verykios: Association Rule Hiding Methods. 71-75
• 
  Yew-Kwong Woon: Association Rule Mining. 76-82
• 
  Luminita Dumitriu: On Association Rule Mining for the QSAR Problem. 83-86
• 
  Anne Denton: Association Rule Mining of Relational Data. 87-93
• 
  Martine Cadot, Jean-Baptiste Maj, Tarek Ziadé: Association Rules and Statistics. 94-97
• 
  Zheng-Hua Tan: Audio and Speech Processing for Data Mining. 98-103
• 
  Gaël Richard: Audio Indexing. 104-109
• 
  Jamel Feki: An Automatic Data Warehouse Conceptual Design Approach. 110-119
• 
  Xiaoyan Yu, Manas Tungare, Weiguo Fan, Manuel A. Pérez-Quiñones, Edward A. Fox, William Cameron, Lillian N. Cassel: Automatic Genre-Specific Text Classification. 120-127
• 
  Xin Zhang: Automatic Music Timbre Indexing. 128-132

B

• 
  Shu-Chiang Lin: A Bayesian Based Machine Learning Application to Task Analysis. 133-139
• 
  Yinghui Yang: Behavioral Pattern-Based Customer Segmentation. 140-145
• 
  Les Pang: Best Practices in Data Warehousing. 146-152
• 
  Scott Nicholson: Bibliomining for Library Decision-Making. 153-159
• 
  Gustavo Camps-Valls, Alistair Morgan Chalk: Bioinformatics and Computational Biology. 160-165
• 
  Jieping Ye, Ravi Janardan, Sudhir Kumar: Biological Image Analysis via Matrix Approximation. 166-170
• 
  Ladjel Bellatreche: Bitmap Join Indexes vs. Data Partitioning. 171-177
• 
  Lei Tang, Huan Liu, Jianping Zhang: Bridging Taxonomic Semantics to Accurate Hierarchical Classification. 178-182

C

• 
  Arla Juntunen: A Case Study of a Data Warehouse in the Finnish Police. 183-191
• 
  Johannes Gehrke: Classification and Regression Trees. 192-195
• 
  Aijun An: Classification Methods. 196-201
• 
  Andrzej Dominik: Classification of Graph Structures. 202-207
• 
  Xinghua Fan: Classifying Two-Class Chinese Texts in Two Steps. 208-213
• 
  Frank Klawonn, Frank Rehm: Cluster Analysis for Outlier Detection. 214-218
• 
  Tom Burr: Cluster Analysis in Fitting Mixtures of Curves. 219-224
• 
  Dingxi Qiu, Edward C. Malthouse: Cluster Analysis with General Latent Class Model. 225-230
• 
  Ricardo Vilalta, Tomasz F. Stepinski: Cluster Validation. 231-236
• 
  Athman Bouguettaya, Qi Yu: Clustering Analysis of Data with High Dimensionality. 237-245
• 
  Joshua Zhexue Huang: Clustering Categorical Data with k-Modes. 246-250
• 
  Mei Li, Wang-Chien Lee: Clustering Data in Peer-to-Peer Systems. 251-257
• 
  Anne Denton: Clustering of Time Series Data. 258-263
• 
  Sheng Ma, Tao Li: On Clustering Techniques. 264-268
• 
  Richard S. Segall: Comparing Four-Selected Data Mining Software. 269-277
• 
  Eamonn J. Keogh, Li Keogh, John Handley: Compression-Based Data Mining. 278-285
• 
  Amin Abdulghani: Computation of OLAP Data Cubes. 286-292
• 
  Elzbieta Malinowski, Esteban Zimányi: Conceptual Modeling for Data Warehouse and OLAP Applications. 293-300
• 
  Brad Morantz: Constrained Data Mining. 301-306
• 
  Carson Kai-Sang Leung: Constraint-Based Association Rule Mining. 307-312
• 
  Francesco Bonchi: Constraint-Based Pattern Discovery. 313-319
• 
  Alexander Mirnov: Context-Driven Decision Mining. 320-327
• 
  Marko Robnik-Sikonja: Context-Sensitive Attribute Evaluation. 328-332
• 
  Yi-Cheng Tu, Gang Ding: Control-Based Database Tuning Under Dynamic Workloads. 333-338
• 
  Victor S. Sheng, Charles X. Ling: Cost-Sensitive Learning. 339-345
• 
  Kehan Gao, Taghi M. Khoshgoftaar: Count Models for Software Quality Estimation. 346-352

D

• 
  Christine W. Chan: Data Analysis for Oil Production Prediction. 353-360
• 
  Seunghyun Im, Zbigniew W. Ras: Data Confidentiality and Chase-Based Knowledge Discovery. 361-366
• 
  Alfredo Cuzzocrea: Data Cube Compression Techniques. 367-373
• 
  Junjie Wu, Jian Chen, Hui Xiong: A Data Distribution View of Clustering Algorithms. 374-381
• 
  John M. Artz: Data Driven vs. Metric Driven Data Warehouse Design. 382-387
• 
  Esma Aïmeur: Data Mining and Privacy. 388-393
• 
  Paola Cerchiello: Data Mining and the Text Categorization Framework. 394-399
• 
  Joaquín B. Ordieres Meré, Manuel Castejón Limas, Ana González-Marcos: Data Mining Applications in Steel Industry. 400-405
• 
  Soo Kim: Data Mining Applications in the Hospitality Industry. 406-410
• 
  Roberto Marmo: Data Mining for Fraud Detection System. 411-416
• 
  Lior Rokach: Data Mining for Improving Manufacturing Processes. 417-423
• 
  Luciana Dalla Valle: Data Mining for Internationalization. 424-430
• 
  Silvia Figini: Data Mining for Lifetime Value Estimation. 431-437
• 
  Diego Liberati: Data Mining for Model Identification. 438-444
• 
  M. del Castillo: Data Mining for Obtaining Secure E-Mail Communications. 445-449
• 
  Ramdev Kanapady, Aleksandar Lazarevic: Data Mining for Structural Health Monitoring. 450-457
• 
  Yew Seng Ng, Rajagopalan Srinivasan: Data Mining for the Chemical Process Industry. 458-464
• 
  Tom Burr: Data Mining in Genome Wide Association Studies. 465-471
• 
  Haipeng Wang: Data Mining in Protein Identification by Tandem Mass Spectrometry. 472-478
• 
  Aleksandar Lazarevic: Data Mining in Security Applications. 479-485
• 
  Gary Weiss: Data Mining in the Telecommunications Industry. 486-491
• 
  Les Pang: Data Mining Lessons Learned in the Federal Government. 492-496
• 
  Seung Ki Moon: A Data Mining Methodology for Product Family Design. 497-505
• 
  Qin Ding: Data Mining on XML Data. 506-510
• 
  Christophe G. Giraud-Carrier: Data Mining Tool Selection. 511-518
• 
  Amin Abdulghani: Data Mining with Cubegrades. 519-525
• 
  Hai Wang, Shouhong Wang: Data Mining with Incomplete Data. 526-530
• 
  Mohammed Al-Shalalfa: Data Pattern Tutor for AprioriAll and PrefixSpan. 531-537
• 
  Magdi Kamel: Data Preparation for Data Mining. 538-543
• 
  Vikram Sorathia: Data Provenance. 544-549
• 
  William E. Winkler: Data Quality in Data Warehouses. 550-555
• 
  Richard Jensen: Data Reduction with Rough Sets. 556-560
• 
  João Gama, Pedro Pereira Rodrigues: Data Streams. 561-565
• 
  Amitava Mitra: Data Transformation for Normalization. 566-571
• 
  Alkis Simitsis, Dimitri Theodoratos: Data Warehouse Back-End Tools. 572-579
• 
  Beixin Lin, Yu Hong, Zu-Hsu Lee: Data Warehouse Performance. 580-585
• 
  Richard Mathieu: Data Warehousing and Mining in Supply Chains. 586-591
• 
  Yuefeng Li: Data Warehousing for Association Mining. 592-597
• 
  Lutz Hamel: Database Queries, Data Mining, and OLAP. 598-603
• 
  Patricia E. N. Lutu: Database Sampling for Data Mining. 604-609
• 
  Edgar Weippl: Database Security and Statistical Database Security. 610-616
• 
  Martin Znidarsic, Marko Bohanec, Blaz Zupan: Data-Driven Revision of Decision Models. 617-623
• 
  Roberta Siciliano, Claudio Conversano: Decision Tree Induction. 624-630
• 
  Monica Maceli, Min Song: Deep Web Mining through Web Services. 631-637
• 
  Matteo Golfarelli: DFM as a Conceptual Model for Data Warehouse. 638-645
• 
  Hanghang Tong, Yehuda Koren, Christos Faloutsos: Direction-Aware Proximity on Graphs. 646-653
• 
  Takao Ito: Discovering an Effective Measure in Data Mining. 654-662
• 
  Richi Nayak: Discovering Knowledge from XML Documents. 663-668
• 
  Jan H. Kroeze: Discovering Unknown Patterns in Free Text. 669-675
• 
  William W. Agresti: Discovery Informatics from Data to Knowledge. 676-682
• 
  Haiquan Li, Jinyan Li, Xuechun Zhao: Discovery of Protein Interaction Sites. 683-688
• 
  Vladimír Bartík: Distance-Based Methods for Association Rule Mining. 689-694
• 
  Mafruz Zaman Ashrafi: Distributed Association Rule Mining. 695-700
• 
  Yu Chen, Wei-Shinn Ku: Distributed Data Aggregation Technology for Real-Time DDoS Attacks Detection. 701-708
• 
  Grigorios Tsoumakas: Distributed Data Mining. 709-715
• 
  Jose Ignacio Serrano: Document Indexing Techniques for Text Mining. 716-721
• 
  Richard Weber: Dynamic Data Mining. 722-728
• 
  Chang-Chia Liu, Wanpracha Art Chaovalitwongse, Panos M. Pardalos, Basim M. Uthman: Dynamical Feature Extraction from Brain Activity Time Series. 729-735

E

• 
  Diego Reforgiato Recupero: Efficient Graph Matching. 736-743
• 
  Xunkai Wei: Enclosing Machine Learning. 744-751
• 
  Daniel Crabtree: Enhancing Web Search through Query Expansion. 752-757
• 
  Ji-Rong Wen: Enhancing Web Search through Query Log Mining. 758-763
• 
  Ji-Rong Wen: Enhancing Web Search through Web Structure Mining. 764-769
• 
  Nikunj C. Oza: Ensemble Data Mining Methods. 770-776
• 
  Niall Rooney: Ensemble Learning for Regression. 777-782
• 
  Jack Cook: Ethics of Data Mining. 783-788
• 
  Paolo Giudici: Evaluation of Data Mining Methods. 789-794
• 
  Ivan Bruha: Evaluation of Decision Rules by Qualities for Decision-Making Systems. 795-801
• 
  Caitlin Kelly Maurie: The Evolution of SDI Geospatial Data Clearinghouses. 802-809
• 
  Amit Saxena, Megha Kothari, Navneet Pandey: Evolutionary Approach to Dimensionality Reduction. 810-816
• 
  William Hsu: Evolutionary Computation and Genetic Algorithms. 817-822
• 
  Laetitia Jourdan: Evolutionary Data Mining for Genomics. 823-828
• 
  Daniel Rivero: Evolutionary Development of ANNs for Data Mining. 829-835
• 
  Jorge Muruzábal: Evolutionary Mining of Rule Ensembles. 836-841
• 
  Yiyu Yao: On Explanation-Oriented Data Mining. 842-848
• 
  Elzbieta Malinowski, Esteban Zimányi: Extending a Conceptual Multidimensional Model for Representing Spatial Data. 849-856

F

• 
  Rory A. Lewis, Zbigniew W. Ras: Facial Recognition. 857-862
• 
  Seoung Kim: Feature Extraction/Selection in High-Dimensional Spectral Data. 863-869
• 
  Shouxian Cheng, Frank Y. Shih: Feature Reduction for Support Vector Machines. 870-877
• 
  Damien François: Feature Selection. 878-882
• 
  Indranil Bose: Financial Time Series Data Mining. 883-889
• 
  Hong Shen: Flexible Mining of Association Rules. 890-894
• 
  Jamil Saquer: Formal Concept Analysis Based Clustering. 895-900
• 
  Xuan Hong Dang, Wee Keong Ng, Kok-Leong Ong, Vincent C. S. Lee: Frequent Sets Mining in Data Stream Environments. 901-906
• 
  Eyke Hüllermeier: Fuzzy Methods in Data Mining. 907-912

G

• 
  Michel Schneider: A General Model for Data Warehouses. 913-919
• 
  Ladjel Bellatreche: A Genetic Algorithm for Selecting Horizontal Fragments. 920-925
• 
  William Hsu: Genetic Programming. 926-931
• 
  Alex Alves Freitas, Gisele L. Pappa: Genetic Programming for Automatically Constructing Data Mining Algorithms. 932-936
• 
  Marek Kretowski: Global Induction of Decision Trees. 937-942
• 
  Lawrence B. Holder: Graph-Based Data Mining. 943-949
• 
  Carol J. Romanowski: Graphical Data Mining. 950-956
• 
  Liang Xiong: Guide Manifold Alignment by Relative Comparisons. 957-963
• 
  Abdullah Arslan: Guided Sequence Alignment. 964-969

H

• 
  Benjamin C. M. Fung, Ke Wang, Martin Ester: Hierarchical Document Clustering. 970-975
• 
  Francesco Buccafurri: Histograms for OLAP and Data-Stream Queries. 976-981
• 
  Bhavani M. Thuraisingham: Homeland Security Data Mining and Link Analysis. 982-986
• 
  Janet Delve: Humanities Data Warehousing. 987-992
• 
  Sancho Salcedo-Sanz, Gustavo Camps-Valls, Carlos Bousoño-Calzón: Hybrid Genetic Algorithms in Data Mining Applications. 993-998

I

• 
  Marvin L. Brown, John F. Kros: Imprecise Data and the Data Mining Process. 999-1005
• 
  Abdelhamid Bouchachia: Incremental Learning. 1006-1012
• 
  Seokkyung Chung: Incremental Mining from News Streams. 1013-1018
• 
  Honghua Dai: Inexact Field Learning Approach for Data Mining. 1019-1022
• 
  Gary G. Yen: Information Fusion for Scientific Literature Classification. 1023-1033
• 
  Benjamin Griffiths: Information Veins and Resampling with Rough Set Theory. 1034-1040
• 
  Huan Liu: Instance Selection. 1041-1045
• 
  Stephan Meisel: Integration of Data Mining and Operations Research. 1046-1052
• 
  Andreas Koeller: Integration of Data Sources through Data Mining. 1053-1057
• 
  Sai T. Moturu: Integrative Data Analysis for Biological Discovery. 1058-1065
• 
  P. Punitha, D. S. Guru: Intelligent Image Archival and Retrieval System. 1066-1072
• 
  Zbigniew W. Ras, Agnieszka Dardzinska: Intelligent Query Answering. 1073-1078
• 
  Zheng Zhao: On Interacting Features in Subset Selection. 1079-1084
• 
  Yan Zhao: On Interactive Data Mining. 1085-1090
• 
  Qi Li, Jieping Ye, Chandra Kambhamettu: Interest Pixel Mining. 1091-1096
• 
  Gustavo Camps-Valls, Manel Martínez-Ramón, José Luis Rojo-Álvarez: An Introduction to Kernel Methods. 1097-1101
• 
  Malcolm Beynon: The Issue of Missing Values in Data Mining. 1102-1109

K

• 
  Doina Caragea, Vasant Honavar: Knowledge Acquisition from Semantically Heterogeneous Data. 1110-1116
• 
  Qingxiang Wu, T. Martin McGinnity, Girijesh Prasad, David A. Bell: Knowledge Discovery in Databases with Diversity of Data Types. 1117-1123

L

• 
  Marco Ramoni, Paola Sebastiani: Learning Bayesian Networks. 1124-1128
• 
  Rallou Thomopoulos: Learning Exceptions to Refine a Domain Expertise. 1129-1136
• 
  João Gama, Pedro Pereira Rodrigues: Learning from Data Streams. 1137-1141
• 
  Bojun Yan: Learning Kernels for Semi-Supervised Clustering. 1142-1145
• 
  Feng Pan: Learning Temporal Information from Text. 1146-1149
• 
  Abdelhamid Bouchachia: Learning with Partial Supervision. 1150-1157
• 
  Kirsten Wahlstrom, John F. Roddick, Rick Sarre, Vladimir Estivill-Castro, Denise de Vries: Legal and Technical Issues of Privacy Preservation in Data Mining. 1158-1163
• 
  Yinghui Yang, Balaji Padmanabhan: Leveraging Unlabeled Data for Classification. 1164-1169
• 
  Carlotta Domeniconi, Dimitrios Gunopulos: Locally Adaptive Techniques for Pattern Classification. 1170-1175

M

• 
  Xiang Zhang, Seza Orcun, Mourad Ouzzani, Cheolhwan Oh: Mass Informatics in Differential Proteomics. 1176-1181
• 
  Dimitri Theodoratos, Wugang Xu, Alkis Simitsis: Materialized View Selection for Data Warehouse Design. 1182-1187
• 
  Jun Zhang, Jie Wang, Shuting Xu: Matrix Decomposition Techniques for Data Privacy. 1188-1193
• 
  Raymond K. Pon, Alfonso F. Cardenas, David Buttler: Measuring the Interestingness of News Articles. 1194-1199
• 
  Miguel García-Torres: Metaheuristics in Data Mining. 1200-1206
• 
  Christophe G. Giraud-Carrier, Pavel Brazdil, Carlos Soares, Ricardo Vilalta: Meta-Learning. 1207-1215
• 
  Xinghua Fan: A Method of Recognizing Entity and Relation. 1216-1223
• 
  Li-Min Fu: Microarray Data Mining. 1224-1230
• 
  Diego Liberati: Minimum Description Length Adaptive Bayesian Mining. 1231-1235
• 
  Li Shen, Fillia Makedon: Mining 3D Shape Data for Morphometric Pattern Discovery. 1236-1242
• 
  Stanley Daniel Licthnow, Thyago Tiago Primo: Mining Chat Discussions. 1243-1247
• 
  Tamraparni Dasu, Gary Weiss: Mining Data Streams. 1248-1256
• 
  Gabriele Kern-Isberner: Mining Data with Group Theoretical Means. 1257-1261
• 
  Steffen Bickel: Mining Email Data. 1262-1267
• 
  Wen-Yang Lin, Ming-Cheng Tseng: Mining Generalized Association Rules in an Evolving Environment. 1268-1274
• 
  Doru Tanasa: Mining Generalized Web Data for Discovering Usage Patterns. 1275-1281
• 
  Shane M. Butler: Mining Group Differences. 1282-1286
• 
  Junsong Yuan: Mining Repetitive Patterns in Multimedia Data. 1287-1291
• 
  Bruno Agard: Mining Smart Card Data from an Urban Transit Network. 1292-1302
• 
  David Lo: Mining Software Specifications. 1303-1309
• 
  Ramón F. Brena, Ana Gabriela Maguitman: Mining the Internet for Concepts. 1310-1315
• 
  Lutz Hamel: Model Assessment with ROC Curves. 1316-1323
• 
  Claudia Perlich, Saharon Rosset, Bianca Zadrozny: Modeling Quantiles. 1324-1329
• 
  Anca Doloc-Mihu: Modeling Score Distributions. 1330-1336
• 
  Vasudha Bhatnagar, S. K. Gupta: Modeling the KDD Process. 1337-1345
• 
  Pasquale De Meo, Giovanni Quattrone, Giorgio Terracina, Domenico Ursino: A Multi-Agent System for Handling Adaptive E-Services. 1346-1351
• 
  Chia Huey Ooi: Multiclass Molecular Classification. 1352-1357
• 
  Omar Boussaid, Doulkifli Boukraâ: Multidimensional Modeling of Complex Data. 1358-1364
• 
  Fadime Üney Yüksektepe: Multi-Group Data Classification via MILP. 1365-1371
• 
  Amelia Zafra: Multi-Instance Learning with MultiObjective Genetic Programming. 1372-1379
• 
  Peter A. Chew: Multilingual Text Mining. 1380-1385
• 
  Gang Kou, Yi Peng, Yong Shi: Multiple Criteria Optimization in Data Mining. 1386-1389
• 
  Sach Mukherjee: Multiple Hypothesis Testing for Data Mining. 1390-1395
• 
  Alicja Wieczorkowska: Music Information Retrieval. 1396-1402

N

• 
  Ingrid Fischer: Neural Networks and Graph Transformations. 1403-1408
• 
  Victor Lo: New Opportunities in Marketing Data Mining. 1409-1415
• 
  Dilip Kumar Pratihar: Non-Linear Dimensionality Reduction Techniques. 1416-1424
• 
  Ioannis N. Kouris: A Novel Approach on Negative Association Rules. 1425-1430

O

• 
  Indrani Chakravarty: Offline Signature Recognition. 1431-1438
• 
  Alfredo Cuzzocrea, Svetlana Mansmann: OLAP Visualization. 1439-1446
• 
  Rebecca Boon-Noi Tan: Online Analytical Processing Systems. 1447-1455
• 
  Indrani Chakravarty: Online Signature Recognition. 1456-1462
• 
  James Geller: Ontologies and Medical Terminologies. 1463-1469
• 
  Ioannis N. Kouris: Order Preserving Data Mining. 1470-1475
• 
  Sharanjit Kaur: Outlier Detection. 1476-1482
• 
  Fabrizio Angiulli: Outlier Detection Techniques for Data Mining. 1483-1488

P

• 
  Jorge Cardoso, Wil M. P. van der Aalst: Path Mining and Process Mining for Workflow Management Systems. 1489-1496
• 
  Andrew K. C. Wong, Yang Wang, Gary C. L. Li: Pattern Discovery as Event Association. 1497-1504
• 
  Hui Xiong, Michael Steinbach, Pang-Ning Tan, Vipin Kumar, Wenjun Zhou: Pattern Preserving Clustering. 1505-1510
• 
  P. Viswanath, M. Narasimha Murty, Shalabh Bhatnagar: Pattern Synthesis for Nonparametric Pattern Recognition. 1511-1516
• 
  Radha Chitta: Pattern Synthesis in SVM Based Classifier. 1517-1523
• 
  Clifton Phua, Vincent C. S. Lee, Kate Smith-Miles: The Personal Name Problem and a Data Mining Solution. 1524-1531
• 
  Konstantinos Kotis: Perspectives and Key Technologies of Semantic Web Search. 1532-1537
• 
  Nilmini Wickramasinghe, Rajeev K. Bali: A Philosophical Perspective on Knowledge Creation. 1538-1545
• 
  Ladjel Bellatreche, Mukesh K. Mohania: Physical Data Warehousing Design. 1546-1551
• 
  Xiaoli Li: Positive Unlabelled Learning for Document Classification. 1552-1557
• 
  D. R. Mani, Andrew Betz, James Drew: Predicting Resource Usage for Capital Efficient Marketing. 1558-1569
• 
  Seung-won Hwang: Preference Modeling and Mining for Personalization. 1570-1574
• 
  Alfredo Cuzzocrea, Vincenzo Russo: Privacy Preserving OLAP and OLAP Security. 1575-1581
• 
  Stanley R. M. Oliveira: Privacy-Preserving Data Mining. 1582-1588
• 
  Laura Maruster: Process Mining to Analyze the Behaviour of Specific Users. 1589-1597
• 
  Senqiang Zhou: Profit Mining. 1598-1602
• 
  Ioannis N. Kouris: Program Comprehension through Data Mining. 1603-1609
• 
  Minh Ngo: Program Mining Augmented with Empirical Properties. 1610-1616
• 
  Ping Deng, Qingkai Ma, Weili Wu: Projected Clustering for Biological Data Analysis. 1617-1622
• 
  Imad Khoury, Godfried Toussaint, Antonio Ciampi, Isadora Antoniano: Proximity-Graph-Based Tools for DNA Clustering. 1623-1631
• 
  Yang Xiang: Pseudo-Independent Models and Decision Theoretic Knowledge Discovery. 1632-1638

Q

• 
  Wen-Chi Hou: Quality of Association Rules by Chi-Squared Test. 1639-1645
• 
  Andrew Hamilton-Wright, Daniel W. Stashuk: Quantization of Continuous Data for Pattern Based Rule Extraction. 1646-1652

R

• 
  Colin Cooper, Michele Zito: Realistic Data for Testing Rule Mining Algorithms. 1653-1658
• 
  Brian C. Lovell, Shaokang Chen, Ting Shan: Real-Time Face Detection and Classification for ICCTV. 1659-1666
• 
  Marzena Kryszkiewicz: Reasoning about Frequent Patterns with Negation. 1667-1674
• 
  Nicolas Lachiche: Receiver Operating Characteristic (ROC) Analysis. 1675-1681
• 
  Juha Kontio: Reflecting Reporting Problems and Data Warehousing. 1682-1688
• 
  Brian C. Lovell, Shaokang Chen, Ting Shan: Robust Face Recognition for Data Mining. 1689-1695
• 
  Jerzy W. Grzymala-Busse, Wojciech Ziarko: Rough Sets and Data Mining. 1696-1701

S

• 
  Gautam Das: Sampling Methods in Approximate Query Answering Systems. 1702-1707
• 
  V. Suresh Babu, P. Viswanath, M. Narasimha Murty: Scalable Non-Parametric Methods for Large Data Sets. 1708-1713
• 
  Mike Thelwall: Scientific Web Intelligence. 1714-1719
• 
  Päivikki Parpola: Seamless Structured Knowledge Acquisition. 1720-1726
• 
  Hadrian Peter: Search Engines and their Impact on Data Warehouses. 1727-1734
• 
  Nils Pharo: Search Situations and Transitions. 1735-1740
• 
  Shuguo Han: Secure Building Blocks for Data Privacy. 1741-1746
• 
  Yehuda Lindell: Secure Computation for Privacy Preserving Data Mining. 1747-1752
• 
  Parvathi Chundi, Daniel J. Rosenkrantz: Segmentation of Time Series Data. 1753-1758
• 
  Yawei Wang: Segmenting the Mature Travel Market with Data Mining Tools. 1759-1764
• 
  Protima Banerjee: Semantic Data Mining. 1765-1770
• 
  Chrisa Tsinaraki: Semantic Multimedia Content Retrieval and Filtering. 1771-1778
• 
  Ludovic Denoyer: Semi-Structured Document Classification. 1779-1786
• 
  Tobias Scheffer: Semi-Supervised Learning. 1787-1793
• 
  Cane Leung: Sentiment Analysis of Product Reviews. 1794-1799
• 
  Florent Masseglia, Maguelonne Teisseire, Pascal Poncelet: Sequential Pattern Mining. 1800-1805
• 
  K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik: Soft Computing for XML Data Mining. 1806-1809
• 
  Liping Jing, Michael K. Ng, Joshua Zhexue Huang: Soft Subspace Clustering for High-Dimensional Data. 1810-1814
• 
  Seoung Bum Kim, Chivalai Temiyasathit, Sun-Kyoung Park, Victoria C. P. Chen: Spatio-Temporal Data Mining for Air Pollution Problems. 1815-1822
• 
  Wenyuan Li: Spectral Methods for Data Clustering. 1823-1829
• 
  Christophe G. Giraud-Carrier: Stages of Knowledge Discovery in E-Commerce Sites. 1830-1834
• 
  Claudio Conversano, Roberta Siciliano: Statistical Data Editing. 1835-1840
• 
  Maria Vardaki: Statistical Metadata Modeling and Transformations. 1841-1847
• 
  Concetto Bonafede: Statistical Models for Operational Risk. 1848-1853
• 
  Jun Zhu, Zaiqing Nie, Bo Zhang: Statistical Web Object Extraction. 1854-1858
• 
  Alexander Thomasian: Storage Systems for Data Warehousing. 1859-1864
• 
  Ingrid Fischer: Subgraph Mining. 1865-1870
• 
  Jason Chen: Subsequence Time Series Clustering. 1871-1876
• 
  Mohammad Al Hasan: Summarization in Pattern Mining. 1877-1883
• 
  Ullas Nambiar: Supporting Imprecision in Database Systems. 1884-1887
• 
  Barak Chizi, Lior Rokach, Oded Maimon: A Survey of Feature Selection Techniques. 1888-1895
• 
  Qiyang Chen: Survival Data Mining. 1896-1902
• 
  Kuriakose Athappilly: Symbiotic Data Miner. 1903-1908

T

• 
  Silvia Casado Yusta, Joaquín Pacheco Bonrostro: Tabu Search for Variable Selection in Classification. 1909-1915
• 
  Carlotta Domeniconi: Techniques for Weighted Clustering Ensembles. 1916-1922
• 
  Sherri K. Harms: Temporal Event Sequence Rule Mining. 1923-1928
• 
  Elzbieta Malinowski, Esteban Zimányi: Temporal Extension for a Conceptual Multidimensional Model. 1929-1935
• 
  Megan Chenoweth, Min Song: Text Categorization. 1936-1941
• 
  Ruqian Lu: Text Mining by Pseudo-Natural Language Understanding. 1942-1946
• 
  Konstantinos Markellos: Text Mining for Business Intelligence. 1947-1956
• 
  Han-Joon Kim: Text Mining Methods for Hierarchical Document Indexing. 1957-1965
• 
  Chandan K. Reddy, Bala Rajaratnam: Theory and Practice of Expectation Maximization (EM) Algorithm. 1966-1973
• 
  Ming-Yen Lin: Time-Constrained Sequential Pattern Mining. 1974-1978
• 
  Hsin-Chang Yang, Chung-Hong Lee: Topic Maps Generation by Text Mining. 1979-1984
• 
  Philippe Smets: Transferable Belief Model. 1985-1989
• 
  Dimitrios Katsaros: Tree and Graph Mining. 1990-1996

U

• 
  Herman Akdag, Isis Truck: Uncertainty Operators in a Many-Valued Logic. 1997-2003
• 
  Pasquale De Meo, Diego Plutino, Giovanni Quattrone, Domenico Ursino: A User-Aware Multi-Agent System for Team Building. 2004-2010
• 
  Malcolm Beynon: Using Dempster-Shafer Theory in Data Mining. 2011-2018
• 
  Francesca A. Lisi: Using Prior Knowledge in Data Mining. 2019-2023
• 
  Malcolm Beynonm: Utilizing Fuzzy Decision Trees in Decision Making. 2024-2030

V

• 
  José Borges, Mark Levene: Variable Length Markov Chains for Web Usage Mining. 2031-2035
• 
  William Perrizo, Qiang Ding, Qin Ding, Taufik Abidin: Vertical Data Mining on Very Large Data Sets. 2036-2041
• 
  Jung-Hwan Oh: Video Data Mining. 2042-2047
• 
  Alfredo Cuzzocrea: View Selection in DW and OLAP. 2048-2055
• 
  Herna L. Viktor, Eric Paquet: Visual Data Mining from Visualization to Visual Information Mining. 2056-2061
• 
  Frank Rehm, Frank Klawonn, Rudolf Kruse: Visualization of High-Dimensional Data with Polar Coordinates. 2062-2067
• 
  Andrew Hamilton-Wright, Daniel W. Stashuk: Visualization Techniques for Confidence Based Data. 2068-2073

W

• 
  Yinghui Yang: Web Design Based on User Browsing Patterns. 2074-2079
• 
  Massimiliano Caramia, Giovanni Felici: Web Mining in Thematic Search Engines. 2080-2084
• 
  Bamshad Mobasher: Web Mining Overview. 2085-2089
• 
  Anthony Scime: Web Page Extension of Data Warehouses. 2090-2095
• 
  Xiangji Huang: Web Usage Mining with Web Logs. 2096-2102
• 
  Kyriacos Chrysostomou: Wrapper Feature Selection. 2103-2108

X

• 
  Hadj Mahboubi: XML Warehousing and OLAP. 2109-2116
• 
  Ling Feng: XML-Enabled Association Analysis. 2117-2122