DM 2008 Proceedings |
DAGMA: MINING DIRECTED ACYCLIC GRAPHS A CASE-BASED REASONING SYSTEM TO FORECAST THE PRESENCE OF OIL SLICKS INTEGRATION OF THE PAGERANK ALGORITHM INTO WEB RECOMMENDATION SYSTEM SUBSPACE ORTHOGONAL PROJECTION FOR TEXTURE SEGMENTATION WITH WAVELET FRAMES A SYSTOLIC ARRAY ARCHITECTURE FOR THE SMITH-WATERMAN ALGORITHM WITH HIGH PERFORMANCE CELL DESIGN AGGREGATION IN CONFIDENCE-BASED CONCEPT DISCOVERY FOR MULTI-RELATIONAL DATA MINING ON USING CLUSTERING AND CLASSIFICATION DURING THE DESIGN PHASE TO BUILD WELL-STRUCTURED RETAIL WEBSITES IDENTIFICATION OF BANKRUPTCY FRAUD IN DUTCH ORGANIZATIONS MINING POSTAL ADDRESSES OBTAINING USER PROFILES VIA WEB USAGE MINING INFORMATION RETRIEVAL WITH CLUSTER GENETIC DESIGN OF AN AUTOMATED SYSTEM FOR CLUSTERING HETEROGENEOUS DATA ONTOLOGY IN ASSOCIATION RULES PRE-PROCESSING AND POST-PROCESSING DATA MINING IN NON-STATIONARY MULTIDIMENSIONAL TIME SERIES USING A RULE SIMILARITY MEASURE TOWARDS MINING FOR INFLUENCE IN A MULTI AGENT ENVIRONMENT SELECTION OF ORTHOGONAL FEATURES IN FISHER DISCRIMINANT ANALYSIS GAPBNF_RULE: A GENETIC MINER RULE CUSTOMER INSIGHTS FROM TRANSACTIONAL DATABASE: DATABASE MARKETING CASE MIB: USING MUTUAL INFORMATION FOR BICLUSTERING HIGH DIMENSIONAL DATA SISA: SEEDED ITERATIVE SIGNATURE ALGORITHM FOR BICLUSTERING GENE EXPRESSION DATA EXPLORATION OF HIGH-DIMENSIONAL TIME SERIES USING REGULARIZED REDUCED RANK APPROACH: APPLICATION IN TIME-COURSE MICROARRAY DATA ANALYSIS DATA MINING APPLICATIONS IN INTELLIGENT INTEGRATED DEVELOPMENT ENVIRONMENTS FUZZY ASSOCIATION RULE REDUCTION USING CLUSTERING IN SOM NEURAL NETWORK TOWARDS A MODEL-DRIVEN ENGINEERING APPROACH OF DATA MINING DESIGN OF PHYSICAL ACTIVITY RECOMMENDATION SYSTEM WEB MINING: A KEY TO IMPROVE BUSINESS ON WEB TOWARDS AN ERROR-FREE STEMMING A SCHEME FOR SYNTHESIS OF ADJUSTMENT ALGORITHMS FOR LOCALLY PERTURBED FINITE SEMIMETRICS PROVE THE RELATIONSHIP BETWEEN PARTICLE SIZE AND TURBIDITY FLUCTUATIONS BY IMAGE ANALYSIS DATA MINING IN MARKETING ACQUISITION CAMPAIGNS ARCH: DATA INTEGRATION FRAMEWORK BASED ON RDFA AND USABILITY ASPECTS APPLYING AND COMPARING HIDDEN MARKOV MODEL AND FUZZY CLUSTERING ALGORITHMS TO WEB USAGE DATA FOR RECOMMENDER SYSTEMS KDD, SEMMA AND CRISP-DM: A PARALLEL OVERVIEW |