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ORCIDEncyclopedia of Data Warehousing and Mining 2009
- John Wang:
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 N. 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 R. 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