default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
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 C. 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 - 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 N. 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 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 Francis 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 G. 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 Orçun, 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 Loh, Daniel Lichtnow, Thyago Borges, Tiago T. Primo, Rodrigo Branco Kickhöfel, Gabriel Simões, Gustavo Piltcher, Ramiro Saldaña:
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 S. 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 Luís Cabral de Moura Borges, Mark Levene:
Variable Length Markov Chains for Web Usage Mining. 2031-2035 - William Perrizo, Qiang Ding, Qin Ding, Taufik Fuadi 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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-05-14 21:51 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
