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Advances in Knowledge Discovery and Data Mining 15th Pacific-Asia Conference, PAKDD 2011, Shenzhen, China, May 24-27, 2011, Proceedings, Part I

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ISBN-10: 3642208401

ISBN-13: 9783642208409

Edition: 2011

Authors: Joshua Zhexue Huang, Longbing Cao, Jaideep Srivastava

List price: $44.99
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Book details

List price: $44.99
Copyright year: 2011
Publisher: Springer Berlin / Heidelberg
Publication date: 5/9/2011
Binding: Paperback
Pages: 564
Size: 6.10" wide x 9.25" long x 1.25" tall
Weight: 1.980
Language: English

Feature Extraction
An Instance Selection Algorithm Based on Reverse Nearest Neighbor
A Game Theoretic Approach for Feature Clustering and Its Application to Feature Selection
Feature Selection Strategy in Text Classification
Unsupervised Feature W8
An Effective Feature Selection Method for Text Categorization
Machine Learning
A Subpath Kernel for Rooted Unordered Trees
Classification Probabilistic PCA with Application in Domain Adaptation
Probabilistic Matrix Factorization Leveraging Contexts for Unsupervised Relation Extraction
The Unsymmetrical-Style Co-training
Balance Support Vector Machines Locally Using the Structural Similarity Kernel
Using Classifier-Based Nominal Imputation to Improve Machine Learning
A Bayesian Framework for Learning Shared and Individual Subspaces from Multiple Data Sources
Are Tensor Decomposition Solutions Unique? On the Global Convergence HOSVD and ParaFac Algorithms
Improved Spectral Hashing
Clustering
High-Order Co-clustering Text Data on Semantics-Based Representation Model
The Role of Hubness in Clustering High-Dimensional Data
Spatial Entropy-Based Clustering for Mining Data with Spatial Correlation
Self-adjust Local Connectivity Analysis for Spectral Clustering
An Effective Density-Based Hierarchical Clustering Technique to Identify Coherent Patterns from Gene Expression Data
Nonlinear Discriminative Embedding for Clustering via Spectral Regularization
An Adaptive Fuzzy k-Nearest Neighbor Method Based on Parallel Particle Particle Swarm Optimization for Bankruptcy Prediction
Semi-supervised Parameter-Free Divisive Hierarchical Clustering of Categorical Data
Classification
Identifying Hidden Contexts in Classification
Cross-Lingual Sentiment Classification via Bi-view Non-negative Matrix Tri-Factorization
A Sequential Dynamic Multi-class Model and Recursive Filtering by Variational Bayesian Methods
Random Ensemble Decision Trees for Learning Concept-Drifting Data Streams
Collaborative Data Cleaning for Sentiment Classification with Noisy Training Corpus
Pattern Mining
Using Constraints to Generate and Explore Higher Order Discriminative Patterns
Mining Maximal Co-located Event Sets
Pattern Mining for a Two-Stage Information Filtering System
Efficiently Retrieving Longest Common Route Patterns of Moving Objects By Summarizing Turning Regions
Automatic Assignment of Item W8
Prediction
Predicting Private Company Exits Using Qualitative Data
A Rule-Based Method for Customer Churn Prediction in Telecommunication Services
Text Mining
Adaptive and Effective Keyword Search for XML
Steering Time-Dependent Estimation of Posteriors with Hyper parameter Indexing in Bayesian Topic Models
Constrained LDA for Grouping Product Features in Opinion Mining
Semantic Dependent Word Pairs Generative Model for Fine-Grained Product Feature Mining
Grammatical Dependency-Based Relations for Term W8
XML Documents Clustering Using a Tensor Space Model
An Efficient Pre-processing Method to Identify Logical Components from PDF Documents
Combining Proper Name-Coreference with Conditional Random Fields for Semi-supervised Named Entity Recognition in Vietnamese Text
Topic Analysis of Web User Behavior Using LDA Model on Proxy Logs
SizeSpotSigs: An Effective Deduplicate Algorithm Considering the Size of Page Content
Knowledge Transfer across Multilingual Corpora via Latent Topics
Author Index