9783540770169 - Emerging Technologies in Knowledge Discovery and Data Mining: PAKDD 2007 International Workshops, Nanjing, China, May 22-25, 2007, Revised Selected ... (Lecture Not... (13 resultados)

Condición: New. In.

Condición: New. pp. 694.

Condición: New. pp. 694 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.

Taschenbuch. Condición: Neu. Emerging Technologies in Knowledge Discovery and Data Mining | PAKDD 2007 International Workshops, Nanjing, China, May 22-25, 2007, Revised Selected Papers | Takashi Washio (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2007 | Springer | EAN 9783540770169 | Verantwortliche Person für die EU: Springer Nature Customer Service Center GmbH, Europaplatz 3, 69115 Heidelberg, productsafety[at]springernature[dot]com | Anbieter: preigu.

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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the thoroughly refereed post-proceedings of three workshops and an industrial track held in conjunction with the 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2007, held in Nanjing, China in May 2007. The 62 revised full papers presented together with an overview article to each workshop were carefully reviewed and selected from 355 submissions.

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Condición: Sehr gut. Zustand: Sehr gut | Seiten: 692 | Sprache: Englisch | Produktart: Bücher | This book constitutes the thoroughly refereed post-proceedings of three workshops and an industrial track held in conjunction with the 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2007, held in Nanjing, China in May 2007. The 62 revised full papers presented together with an overview article to each workshop were carefully reviewed and selected from 355 submissions.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the thoroughly refereed post-proceedings of three workshops and an industrial track held in conjunction with the 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2007, held in Nanjing, China in May 2007. The 62 revised full papers presented together with an overview article to each workshop were carefully reviewed and selected from 355 submissions. 692 pp. Englisch.

Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book constitutes the thoroughly refereed post-proceedings of three workshops and an industrial track held in conjunction with the 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2007, held in Nanjing, China in May 2007. Th.

Condición: New. PRINT ON DEMAND pp. 694.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -PAKDD Industrial Track and Workshops 2007.- PAKDD 2007 Industrial Track Workshop.- A Survey of Open Source Data Mining Systems.- Predicting the Short-Term Market Reaction to Asset Specific News: Is Time Against Us .- Frequency-Weighted Fuzzy Time-Series Based on Fibonacci Sequence for TAIEX Forecasting.- Probabilistic Techniques for Corporate Blog Mining.- Mining Chat Conversations for Sex Identification.- Mining High Impact Exceptional Behavior Patterns.- Practical Issues on Privacy-Preserving Health Data Mining.- Data Mining for Intelligent Structure Form Selection Based on Association Rules from a High Rise Case Base.- CommonKADS Methodology for Developing Power Grid Switching Orders Systems.- Discovering Prediction Model for Environmental Distribution Maps.- Workshop BioDM'07-An Overview.- Extracting Features from Gene Ontology for the Identification of Protein Subcellular Location by Semantic Similarity Measurement.- Detecting Community Structure in Complex Networks by Optimal Rearrangement Clustering.- The HIV Data Mining Tool for Government Decision-Making Support.- Negative Localized Relationship Among p70S6 with Smad1, 2, 3 and p38 in Three Treated Human Cancer Cell Lines.- Cancer Identification Based on DNA Microarray Data.- Incorporating Dictionary Features into Conditional Random Fields for Gene/Protein Named Entity Recognition.- Translation and Rotation Invariant Mining of Frequent Trajectories: Application to Protein Unfolding Pathways.- Genetic-Annealing Algorithm for 3D Off-lattice Protein Folding Model.- Biclustering of Microarray Data Based on Singular Value Decomposition.- On the Number of Partial Least Squares Components in Dimension Reduction for Tumor Classification.- Mining Biosignal Data: Coronary Artery Disease Diagnosis Using Linear andNonlinear Features of HRV.- High Performance Data Mining and Applications Overview.- Approximately Mining Recently Representative Patterns on Data Streams.- Finding Frequent Items in Data Streams Using ESBF.- A New Decision Tree Classification Method for Mining High-Speed Data Streams Based on Threaded Binary Search Trees.- Progressive Subspace Skyline Clusters Mining on High Dimensional Data.- Efficient Privacy Preserving Distributed Clustering Based on Secret Sharing.- SePMa: An Algorithm That Mining Sequential Processes from Hybrid Log.- Evaluate Structure Similarity in XML Documents with Merge-Edit-Distance.- Ensemble Learning Based Distributed Clustering.- Deploying Mobile Agents in Distributed Data Mining.- ODDC: Outlier Detection Using Distance Distribution Clustering.- Spatial Clustering with Obstacles Constraints Using Ant Colony and Particle Swarm Optimization.- A High Performance Hierarchical Cubing Algorithm and Efficient OLAP in High-Dimensional Data Warehouse.- Grid-Based Clustering Algorithm Based on Intersecting Partition and Density Estimation.- Depth First Generation of Frequent Patterns Without Candidate Generation.- Efficient Time Series Data Classification and Compression in Distributed Monitoring.- Best-Match Method Used in Co-training Algorithm.- A General Method of Mining Chinese Web Documents Based on GA&SA and Position-Factors.- Data Management Services in ChinaGrid for Data Mining Applications.- Two-Phase Algorithms for a Novel Utility-Frequent Mining Model.- Top-Down and Bottom-Up Strategies for Incremental Maintenance of Frequent Patterns.- GC-Tree: A Fast Online Algorithm for Mining Frequent Closed Itemsets.- Integration of Distributed Biological Data Using Modified K-Means Algorithm.- A Parallel Algorithm for Enumerating All the Maximal k-Plexes.- A Multi-dependency Language Modeling Approach to Information Retrieval.- Factoid Mining Based Content Trust Model for Information Retrieval.- Service, Security and Its Data Management for Ubiquitous Computing - Overview.- Study on Trust Inference and Emergence of Economical Small-World Phenomena in P2P Environment.- A Secure Time Sy.