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Explaining data patterns using knowledge from the web of data /
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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Tiddi, Ilaria, author. |
| 단체저자명 | IOS Press. |
| 서명/저자사항 | Explaining data patterns using knowledge from the web of data /Ilaria Tiddi. |
| 발행사항 | Amsterdam, Netherlands : IOS Press, [2018] |
| 형태사항 | 1 online resource. |
| 총서사항 | Studies on the semantic web ;vol. 034 |
| 소장본 주기 | Master record variable field(s) change: 050 |
| ISBN | 9781614998600 1614998604 |
| 서지주기 | Includes bibliographical references. |
| 내용주기 | Intro; Title Page; Contents; Introduction and State of the Art; Introduction; Problem Statement; Research Hypothesis; Research Questions; RQ1: Definition of an Explanation; RQ2: Detection of the Background Knowledge; RQ3: Generation of the Explanations; RQ4: Evaluation of the Explanations; Research Methodology; Approach and Contributions; Applicability; Dedalo at a Glance; Contributions of the Thesis; Structure of the Thesis; Structure; Publications; Datasets and Use-cases; State of the Art; A Cognitive Science Perspective on Explanations; Characterisations of Explanations The Explanation OntologyResearch Context; The Knowledge Discovery Process; Graph Terminology and Fundamentals; Historical Overview of the Web of Data; Consuming Knowledge from the Web of Data; Resources; Methods; Towards Knowledge Discovery from the Web of Data; Managing Graphs; Mining Graphs; Mining the Web of Data; Summary and Discussion; Looking for Pattern Explanations in the Web of Data; Manually generating Explanations; Introduction; The Inductive Logic Programming Framework; General Setting; Generic Technique; A Practical Example; The ILP Approach to Generate Explanations; Experiments Building the Training ExamplesBuilding the Background Knowledge; Inducing Hypotheses; Discussion; Conclusions and Limitations; Automatically generating Explanations; Introduction; Problem Formalisation; Assumptions; Formal Definitions; An Example; Automatic Discovery of Explanations; Challenges and Proposed Solutions; Description of the Process; Evaluation Measures; Final Algorithm; Experiments; Use-cases; Heuristics Comparison; Best Explanations; Time Evaluation; Conclusions and Limitations; Aggregating Explanations using Neural Networks; Introduction; Motivation and Challenges Improving Atomic RulesRule Interestingness Measures; Neural Networks to Predict Combinations; Proposed Approach; A Neural Network Model to Predict Aggregations; Integrating the Model in Dedalo; Experiments; Comparing Strategies for Rule Aggregation; Results and Discussion; Conclusions and Limitations; Contextualising Explanations with the Web of Data; Introduction; Problem Statement; Learning Path Evaluation Functions through Genetic Programming; Genetic Programming Foundations; Preparatory Steps; Step-by-Step Run; Experiments; Experimental Setting; Results; Conclusion and Limitations Evaluation and ConclusionEvaluating Dedalo with Google Trends; Introduction; First Empirical Study; Data Preparation; Evaluation Interface; Evaluation Measurements; Participant Details; User Agreement; Results, Discussion and Error Analysis; Second Empirical Study; Data Preparation; Evaluation Interface; Evaluation Measurements; User Agreement; Results, Discussion and Error Analysis; Final Discussion and Conclusions; Discussion and Conclusions; Introduction; Summary, Answers and Contributions; Definition of an Explanation; Detection of the Background Knowledge; Generation of the Explanations |
| 일반주제명 | Data mining. COMPUTERS / General. Data mining. |
| 언어 | 영어 |
| 기타형태 저록 | Print version:Ilaria, Tiddi.Explaining data patterns using knowledge from the web of data.Amsterdam, Netherlands : IOS Press, [2018]9781614998594 |
| 대출바로가기 | http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1876770 |
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| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00013399 | 006.3/12 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출가능 |
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