| Description |
1 online resource (xvii, 419 pages) |
| Series |
Lecture notes in computer science, 0302-9743 |
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Lecture notes in artificial intelligence ; 7121 |
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LNCS sublibrary. SL 7, Artificial intelligence |
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Lecture notes in computer science.
|
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Lecture notes in computer science. Lecture notes in artificial intelligence ; 7121
|
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LNCS sublibrary. SL 7, Artificial intelligence.
|
| Contents |
Intro; Title page; Preface; Organization; Table of Contents; Generating Syntactic Tree Templates for Feature-Based Opinion Mining; Introduction; Related Work; The Approach; Syntactic Tree Template; Building Syntactic Tree Template Lexicon; Similarity Computation; Lexicon Generation; Experiments and Results; Corpus; Preprocessing Results; Appraisal Expressions Extraction Experiments; Conclusions and Future Work; References; Handling Concept Drift via Ensemble and Class Distribution Estimation Technique; Introduction; Class Distributions Estimation-Based Methods (CDE-Based Methods) |
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Cost Sensitive Classifier (CSC)Class Distribution; Positive-to-Negative Ratio (pr/nr); Distribution Mismatch Ratio (DMR); Class Distribution Estimation Based Method (CDE); CDE Oracle Method; Our Methods; CDE-EM-AVG-N; CDE-EM-BM-N; CDE-EM-AVGBM-M-N; CDE-EM-EX-N; Experiment Methodology; Experiment Results; Conclusion; References; HUE-Stream: Evolution-Based Clustering Technique for Heterogeneous Data Streams with Uncertainty; Introduction; Basic Concepts of Evolution-Based Stream Clustering with Uncertainty; Tuple-Level and Dimension-Level Uncertainty |
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Cluster Representation Using Fading Cluster Structure with HistogramDistance Functions; Evolution-Based Stream Clustering; The Algorithm; Overview of HUE-Stream Algorithm; Experimental Results; Effectiveness Test; Sensitivity Test; Efficiency Test; Conclusions; References; Hybrid Artificial Immune Algorithm and CMAC Neural Network Classifier for Supporting Business and Medical Decision Making; Introduction; Related Works; MIMO CMAC NN Classifier; Artificial Immune Algorithm; Method; Results; Australian Credit Approval Credit Dataset; Diabetes Dataset; Conclusions; References |
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Improving Suffix Tree Clustering with New Ranking and Similarity MeasuresIntroduction; Related Work; STHAC: Suffix Tree Hierarchical Agglomerative Clustering; Step 1 -- Document Cleaning; Step 2 -- Base Cluster Identification; Step 3 -- Clusters Ranking and Filtering; Step 4 -- Merging Clusters; Step 5 -- Cluster Cleaning; Evaluation; Comparison STHAC with STC and Other Algorithms; Experimental Results; Further Experiments; Conclusions; References; Individual Doctor Recommendation Model on Medical Social Network; Introduction; The Method; Doctor-Patient Relationships Mining via TPFG |
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Features Fxtraction for Calculating AD-CDsAuthority Degrees Sorting via Ranking SVM; Individual Doctor Recommendation via Weighted Average Method; Experiments and Evaluations; Mining Patient-Doctor Relationships via TPFG; Effectiveness of Ranking-SVM-Based Algorithm; AD-CDs Sorting Evaluation; Recommendation Performance; Related Work; Conclusions; References; Influence Maximizing and Local Influenced Community Detection Based on Multiple Spread Model; Introduction; Related Works; Independent Cascade Model (ICM); Local Community Detection; Multiple Spread Model (MSM); Influence Maximizing |
| Summary |
Annotation This volume constitutes the refereed proceedings of the 7th International Conference on Advanced Data Mining and Applications, ADMA 2011, held in Beijing, China, in December 2011 |
| Analysis |
Computer science |
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Computer software |
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Database management |
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Data mining |
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Information storage and retrieval systems |
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Artificial intelligence |
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Information Storage and Retrieval |
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Data Mining and Knowledge Discovery |
| Bibliography |
Includes bibliographical references and author index |
| Notes |
English |
| In |
Springer eBooks |
| Subject |
Data mining -- Congresses
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Informatique.
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Data mining
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| Genre/Form |
Conference papers and proceedings
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Software.
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| Form |
Electronic book
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| Author |
Tang, Jie (Computer scientist)
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| ISBN |
9783642258565 |
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3642258565 |
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