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{ "item_title" : "Advanced Data Mining and Applications", "item_author" : [" Hiroshi Motoda", "Zhaohui Wu", "Longbing Cao "], "item_description" : "Clustering.- Semi-Supervised Clustering Ensemble Evolved by Genetic Algorithm for Web Video Categorization.- A Scalable Approach for General Correlation Clustering.- A fast spectral clustering method based on growing vector quantization for large data sets.- A Novel Deterministic Sampling Technique to Speedup Clustering Algorithms.- Software Clustering using Automated Feature Subset Selection.- The Use of Transfer Algorithm for Clustering Categorical Data.- eDARA: Ensembles DARA.- Efficient mining maximal variant and low usage rate biclusters without candidate maintenance in real function-resource matrix: the DeCluster algorithm.- Association Rule Mining.- MEIT: Memory Efficient Itemset Tree for Targeted Association Rule Mining.- Pattern Mining.- Mining Frequent Patterns in Print Logs with Semantically Alternative Labels.- Minimising K-Dominating Set in Arbitrary Network Graphs.- Regression.- Logistic Regression Bias Correction for Large Scale Data with Rare Events.- An Automatical Moderating System for FML using Hashing Regression.- Batch-to-Batch Iterative Learning Control Based on Kernel Independent Component Regression Model.- Prediction.- Deep Architecture for Traffic Flow Prediction.- Compact Prediction Tree: A Lossless Model for Accurate Sequence Prediction.- Generalization of Malaria Incidence Prediction Models by Correcting Sample Selection Bias.- Protein Interaction Hot Spots Prediction using LS-SVM within the Bayesian Interpretation.- Predicting the survival status of cancer patients with Traditional Chinese Medicine Symptom Variation using Logistic Regression Model.- Feature Extraction.- Exploiting Multiple Features for Learning to Rank in Expert Finding.- Convolution Neural Network for Relation Extraction.- Extracting Fuzzy Rules from Hierarchical Heterogeneous Neural Networks for Cardiovascular Diseases Diagnosis.- kDMI: A Novel Method for Missing Values Imputation Using Two Levels of Horizontal Partitioning in a Data set.- Identification.- Traffic Session Identification based on Statistical Language Model.- Role Identification Based on the Information Dependency Complexity.- Detecting Professional Spam Reviewers.- Chinese Comparative Sentence Identification Based on the Combination of Rules and Statistics.- Privacy Preservation.- Utility Enhancement for Privacy Preserving Health Data Publishing.- Optimizing Placement of Mix Zones to Preserve Users' Privacy for Continuous Query Services in Road Networks.- Applications.- Comparison of Cutoff Strategies for Geometrical Features in Machine Learning-based Scoring Functions.- Bichromatic Reverse Ranking Query in Two Dimensions.- Passive Aggressive Algorithm for Online Portfolio Selection with Piecewise Loss Function.- Mining Item Popularity for Recommender Systems.- Exploring an Ichthyoplankton Database from a Freshwater Reservoir in Legal Amazon.- A Pre-initialization Stage of Population-based Bio-inspired Metaheuristics for Handling Expensive Optimization Problems.- A Hybrid-sorting Semantic Matching Method.- Improving Few Occurrence Feature Performance in Distant Supervision for Relation Extraction.- Cluster Labeling Extraction and Ranking Feature Selection for High Quality XML Pseudo Relevance Feedback Fragments Set.- Informed Weighted Random Projection for Dimension Reduction.- Protocol Specification Inference Based on Keywords Identification.- An Adaptive Collaborative Filtering Algorithm Based on Multiple Features.- Machine Learning.- Ensemble of Unsupervised and Supervised Models with Different Label Spaces.- Cost-sensitive Extreme Learning Machine.- Multi-objective Optimization for Overlapping Community Detection.- Endmember Extraction by Exemplar Finder.- EEG-Based User Authentication in Multilevel Security Systems.- A new fuzzy extreme learning machine for regression problems with outliers or noises.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/3/64/253/916/3642539165_b.jpg", "price_data" : { "retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Advanced Data Mining and Applications|Hiroshi Motoda

Advanced Data Mining and Applications : 9th International Conference, Adma 2013, Hangzhou, China, December 14-16, 2013, Proceedings, Part II

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Overview

Clustering.- Semi-Supervised Clustering Ensemble Evolved by Genetic Algorithm for Web Video Categorization.- A Scalable Approach for General Correlation Clustering.- A fast spectral clustering method based on growing vector quantization for large data sets.- A Novel Deterministic Sampling Technique to Speedup Clustering Algorithms.- Software Clustering using Automated Feature Subset Selection.- The Use of Transfer Algorithm for Clustering Categorical Data.- eDARA: Ensembles DARA.- Efficient mining maximal variant and low usage rate biclusters without candidate maintenance in real function-resource matrix: the DeCluster algorithm.- Association Rule Mining.- MEIT: Memory Efficient Itemset Tree for Targeted Association Rule Mining.- Pattern Mining.- Mining Frequent Patterns in Print Logs with Semantically Alternative Labels.- Minimising K-Dominating Set in Arbitrary Network Graphs.- Regression.- Logistic Regression Bias Correction for Large Scale Data with Rare Events.- An Automatical Moderating System for FML using Hashing Regression.- Batch-to-Batch Iterative Learning Control Based on Kernel Independent Component Regression Model.- Prediction.- Deep Architecture for Traffic Flow Prediction.- Compact Prediction Tree: A Lossless Model for Accurate Sequence Prediction.- Generalization of Malaria Incidence Prediction Models by Correcting Sample Selection Bias.- Protein Interaction Hot Spots Prediction using LS-SVM within the Bayesian Interpretation.- Predicting the survival status of cancer patients with Traditional Chinese Medicine Symptom Variation using Logistic Regression Model.- Feature Extraction.- Exploiting Multiple Features for Learning to Rank in Expert Finding.- Convolution Neural Network for Relation Extraction.- Extracting Fuzzy Rules from Hierarchical Heterogeneous Neural Networks for Cardiovascular Diseases Diagnosis.- kDMI: A Novel Method for Missing Values Imputation Using Two Levels of Horizontal Partitioning in a Data set.- Identification.- Traffic Session Identification based on Statistical Language Model.- Role Identification Based on the Information Dependency Complexity.- Detecting Professional Spam Reviewers.- Chinese Comparative Sentence Identification Based on the Combination of Rules and Statistics.- Privacy Preservation.- Utility Enhancement for Privacy Preserving Health Data Publishing.- Optimizing Placement of Mix Zones to Preserve Users' Privacy for Continuous Query Services in Road Networks.- Applications.- Comparison of Cutoff Strategies for Geometrical Features in Machine Learning-based Scoring Functions.- Bichromatic Reverse Ranking Query in Two Dimensions.- Passive Aggressive Algorithm for Online Portfolio Selection with Piecewise Loss Function.- Mining Item Popularity for Recommender Systems.- Exploring an Ichthyoplankton Database from a Freshwater Reservoir in Legal Amazon.- A Pre-initialization Stage of Population-based Bio-inspired Metaheuristics for Handling Expensive Optimization Problems.- A Hybrid-sorting Semantic Matching Method.- Improving Few Occurrence Feature Performance in Distant Supervision for Relation Extraction.- Cluster Labeling Extraction and Ranking Feature Selection for High Quality XML Pseudo Relevance Feedback Fragments Set.- Informed Weighted Random Projection for Dimension Reduction.- Protocol Specification Inference Based on Keywords Identification.- An Adaptive Collaborative Filtering Algorithm Based on Multiple Features.- Machine Learning.- Ensemble of Unsupervised and Supervised Models with Different Label Spaces.- Cost-sensitive Extreme Learning Machine.- Multi-objective Optimization for Overlapping Community Detection.- Endmember Extraction by Exemplar Finder.- EEG-Based User Authentication in Multilevel Security Systems.- A new fuzzy extreme learning machine for regression problems with outliers or noises.

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Details

  • ISBN-13: 9783642539169
  • ISBN-10: 3642539165
  • Publisher: Springer
  • Publish Date: January 2014
  • Dimensions: 9.21 x 6.14 x 1.14 inches
  • Shipping Weight: 1.71 pounds
  • Page Count: 538

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