Emerging Technologies in Knowledge Discovery and Data Mining PAKDD 2007 International Workshops, Nanjing, China, May 22-25, 2007, Revised Selected Papers

Bibliographic Details
Other Authors: Washio, Takashi (Editor), Zhou, Zhi-Hua (Editor), Huang, Joshua Zhexue (Editor), Hu, Xiaohua (Tony) (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2007, 2007
Edition:1st ed. 2007
Series:Lecture Notes in Artificial Intelligence
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • 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
  • Bogus Data Filtering in Sensor Networks
  • Streaming Media Securely over Multipath Multihop Wireless Network
  • Flexible Selection of Wavelet Coefficients Based on the Estimation Error of Predefined Queries
  • Secured Web Services Based on Extended Usage Control
  • A Digital Rights Management Architecture for Multimedia in P2P.
  • 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
  • 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
  • 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 Synchronization Protocol for Sensor Network
  • On Grid-Based Key Pre-distribution: Toward a Better Connectivity in Wireless Sensor Network
  • A Distributed and Cooperative Black Hole Node Detection and Elimination Mechanism for Ad Hoc Networks
  • A Novel Adaptive and Safe Framework for Ubicomp
  • Reducing Inter-piconet Delay for Large-Scale Bluetooth Scatternets
  • Security Analysis and Enhancement of One-Way Hash Based Low-Cost Authentication Protocol (OHLCAP)
  • An Effective Design of an Active RFID Reader Using a Cache of Tag Memory Data
  • Privacy Protection Scheme of RFID Using Random Number
  • A Hierarchical Composition of LU Matrix-Based Key Distribution Scheme for Sensor Networks
  • Security Framework for Home Network: Authentication, Authorization, and Security Policy