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Record Nr. |
UNINA9910820617103321 |
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Titolo |
Active mining : new directions of data mining / / edited by Hiroshi Motoda |
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Pubbl/distr/stampa |
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Amsterdam ; ; Washington, DC, : IOS Press |
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Tokyo, : Ohmsha, c2002 |
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ISBN |
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600-00-0325-0 |
9786610505555 |
1-60129-400-X |
1-280-50555-9 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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Collana |
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Frontiers in artificial intelligence and applications, , 0922-6389 ; ; v. 79. Knowledge-based intelligent engineering systems ; ; v. 3 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references and author index. |
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Nota di contenuto |
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Cover -- Title page -- Preface -- Acknowledgments -- Contents -- I. Data Collection -- Toward Active Mining from On-line Scientific Text Abstracts Using Pre-existing Sources -- Data Mining on the WAVEs - Word-of-mouth-Assisting Virtual Environments -- Immune Network-based Clustering for WWW Information Gathering/Visualization -- Interactive Web Page Retrieval with Relational Learning-based Filtering Rules -- Monitoring Partial Update of Web Pages by Interactive Relational Learning -- Context-based Classification of Technical Terms Using Support Vector Machines -- Intelligent Tickers: An Information Integration Scheme for Active Information Gathering -- II. User Centered Mining -- Discovery of Concept Relation Rules Using an Incomplete Key Concept Dictionary -- Mining Frequent Substructures from Web -- Towards the Discovery of Web Communities from Input Keywords to a Search Engine -- Temporal Spatial Index Techniques for OLAP in Traffic Data Warehouse -- Knowledge Discovery from Structured Data by Beam-wise Graph-Based Induction -- PAGA Discovery: A Worst-Case Analysis of Rule Discovery for Active Mining -- Evaluating the Automatic Composition of Inductive Applications Using StatLog Repository of Data Set -- Fast Boosting Based on Iterative |
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Data Squashing -- Reducing Crossovers in Reconciliation Graphs Using the Coupling Cluster Exchange Method with a Genetic Algorithm -- Outlier Detection using Cluster Discriminant Analysis -- III. User Reaction and Interaction -- Evidence-Based Medicine and Data Mining: Developing a Causal Model via Meta-Learning Methodology -- KeyGraph for Classifying Web Communities -- Case Generation Method for Constructing an RDR Knowledge Base -- Acquiring Knowledge from Both Human Experts and Accumulated Data in an Unstable Environment. |
Active Participation of Users with Visualizaiton Tools in the Knowledge Discovery Process -- The Future Direction of Active Mining in the Business World -- Topographical Expression of a Rule for Active Mining -- The Effect of Spatial Representation of Information on Decision Making in Purchase -- A Hybrid Approach of Multiscale Matching and Rough Clustering to Knowledge Discovery in Temporal Medical Databases -- Meta Analysis for Data Mining -- Author Index -- A -- B -- C -- F -- H -- I -- K -- M -- N -- O -- S -- T -- U -- W -- Y. |
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Sommario/riassunto |
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Focusing on data mining, this work is a joint effort from researchers in Japan, and includes a report on the forefront of data collection, user-centred mining and user interaction/reaction. It offers an overview of modern solutions with real-world applications, sharing hard-learned experiences. |
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