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Smartdata : privacy meets evolutionary robotics / / Inman Harvey, Ann Cavoukian, George Tomko, Don Borrett, Hon Kwan, Dimitrios Hatzinakos, editors
Smartdata : privacy meets evolutionary robotics / / Inman Harvey, Ann Cavoukian, George Tomko, Don Borrett, Hon Kwan, Dimitrios Hatzinakos, editors
Edizione [1st ed. 2013.]
Pubbl/distr/stampa New York : , : Springer, , 2013
Descrizione fisica 1 online resource (x, 211 pages) : illustrations
Disciplina 005.741
629.8/92
Collana Gale eBooks
Soggetto topico Data protection
Computer security
ISBN 1-4614-6409-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Privacy by Design and the Promise of SmartData -- SmartData: the Need, the Goal and the Challenge -- Perspectives on Artificial Intelligence -- Context dependent information processing entails scale-free dynamics -- Philosophy and SmartData -- Relevance Realization and the Neurodynamics and Neural Connectivity of General Intelligence -- What Matters: Real Bodies and Virtual Worlds -- The development of autonomous virtual agents -- Patterns of Attractors in the “Brain" -- A Privacy-Enabled Mobile Computing Model Using Intelligent Cloud-Based Services -- Unconstraint the Population: the Benefits of Horizontal Gene Transfer in Genetic Algorithms.- A robust system for distributed data mining and preserving-privacy -- A Distributed Mobile Application for Data Collection with Intelligent Agent Based Data Management Policy.- Security Risks Assessment Based on Intelligent Systems and Attack Graphs -- An adaptive Intelligent Fuzzy Logic Classifier for Data Security and Privacy in Large Databases -- The Security Architecture Discipline as Catalyst to Effect Secure SmartData Design -- Trust and Non Person Entities SmartData as NPE Candidate.- Privacy-Enabled Mobile-Health (mHealth)-based Diabetic Solution.
Record Nr. UNINA-9910739451503321
New York : , : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Web document analysis [[electronic resource] ] : challenges and opportunities / / editors, Apostolos Antonacopoulos, Jianying Hu
Web document analysis [[electronic resource] ] : challenges and opportunities / / editors, Apostolos Antonacopoulos, Jianying Hu
Pubbl/distr/stampa Singapore ; ; River Edge, NJ, : World Scientific, 2003
Descrizione fisica 1 online resource (346 p.)
Disciplina 005.741
Altri autori (Persone) AntonacopoulosApostolos
HuJianying <1966->
Collana Series in machine perception and artificial intelligence
Soggetto topico Data mining
Internet searching
Soggetto genere / forma Electronic books.
ISBN 1-281-92809-7
9786611928094
981-277-537-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto CONTENTS; PREFACE; Part I. Content Extraction and Web Mining; CHAPTER 1 CLUSTERING OF WEB DOCUMENTS USING A GRAPH MODEL; 1. Introduction; 2. Graphs: Formal Notation; 3. The Extended k-Means Clustering Algorithm; 4. Clustering of Web Documents using the Graph Model; 5. Experimental Results; Acknowledgments; References; CHAPTER 2 APPLICATIONS OF GRAPH PROBING TO WEB DOCUMENT ANALYSIS; 1. Introduction; 2. Related Work; 3. A Formalism for Graph Probing; 4. Experimental Evaluation; 4.1. Graph Model; 4.2. Generating ""Random"" Collections of Web Pages; 4.3. Experiment #1: Full Graph Matching
4.4. Experiment #2: Subgraph Matching 5. Conclusions; 6. Acknowledgments; References; CHAPTER 3 WEB STRUCTURE ANALYSIS FOR INFORMATION MINING; 1. Introduction; 2. Object Model Architecture; 2.1. HTML Parsing Library; 2.2. Single-Slot HTML Parsing Functions; 2.3. Multi-Slot/Pattern HTML Parsing Functions; 3. User Interface; 4. News Article Extraction; 5. Link Extraction; 6. Stock Quote Extraction; 7. Conclusion; Acknowledgment; References; CHAPTER 4 NATURAL LANGUAGE PROCESSING FOR WEB DOCUMENT ANALYSIS; 1. Introduction; 2. Design Principles; 2.1. Why XML?; 2.2. User Orientation
2.3. Portability 3. Document Suite XDOC; 3.1. Preprocessing Module; 3.1.1. HTML Cleaner; 3.1.2. Structure Tagger; 3.1.3. POS Tagger; 3.2. Syntactic Module; 3.2.1. Syntactic Parser; 3.2.2. Phrase Detector; 3.3. Corpus Based Module; 3.4. Semantic Module; 3.4.1. Semantic Tagger; 3.4.2. Case Frame Analysis; 3.4.3. Semantic Interpretation of Syntactic Structure; 4. Related Work; 5. Conclusion; References; Part II. Document Analysis for Adaptive Content Delivery; CHAPTER 5 REFLOWABLE DOCUMENT IMAGES; 1. Introduction; 2. Image and Layout Analysis; 2.1. Text/Image Segmentation; 2.2. Preprocessing
2.3. Layout Analysis 3. HTML-Based Representations; 4. Reader Applications; 5. New Document Formats; 6. Summary and Conclusions; Acknowledgments; References; CHAPTER 6 EXTRACTION AND MANAGEMENT OF CONTENT FROM HTML DOCUMENTS; 1. Introduction; 2. Research Direction; 3. Current State of the Art; 3.1 Handcrafting; 3.2 Transcoding; 3.3 Adaptive Re-authoring; 4. Proposed Approach; 4.1. Web Page Segmentation; 4.2. Contextual Analysis and Segment Labeling; 4.3. Web-Page Summarization; 4.4. Post-processing; 4.5. Overall Summary of the Content Extraction and Display Process; 5. Results; 6. Discussion
6.1 Web Page Segmentation 6.2 Contextual Analysis and Segment Labeling; 6.3 Web-Page Summarization; 6.4. Display Capabilities; 6.5. Language Independence; 6.6. Current State of Research; 6.7. Supported Devices; 7. Concluding Remarks; References; CHAPTER 7 HTML PAGE ANALYSIS BASED ON VISUAL CUES; 1. Introduction; 1.1. Document Analysis for Search Engines; 1.2. Document Analysis for Adaptive Content Delivery; 2. Visual Similarity of HTML Objects; 2.1. Visual Similarity of Simple Objects; 2.2. Visual Similarity of Container Objects; 3. Pattern Detection and Construction of Structured Documents
3.1. Quantization
Record Nr. UNINA-9910454086103321
Singapore ; ; River Edge, NJ, : World Scientific, 2003
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Web document analysis [[electronic resource] ] : challenges and opportunities / / editors, Apostolos Antonacopoulos, Jianying Hu
Web document analysis [[electronic resource] ] : challenges and opportunities / / editors, Apostolos Antonacopoulos, Jianying Hu
Pubbl/distr/stampa Singapore ; ; River Edge, NJ, : World Scientific, 2003
Descrizione fisica 1 online resource (346 p.)
Disciplina 005.741
Altri autori (Persone) AntonacopoulosApostolos
HuJianying <1966->
Collana Series in machine perception and artificial intelligence
Soggetto topico Data mining
Internet searching
ISBN 1-281-92809-7
9786611928094
981-277-537-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto CONTENTS; PREFACE; Part I. Content Extraction and Web Mining; CHAPTER 1 CLUSTERING OF WEB DOCUMENTS USING A GRAPH MODEL; 1. Introduction; 2. Graphs: Formal Notation; 3. The Extended k-Means Clustering Algorithm; 4. Clustering of Web Documents using the Graph Model; 5. Experimental Results; Acknowledgments; References; CHAPTER 2 APPLICATIONS OF GRAPH PROBING TO WEB DOCUMENT ANALYSIS; 1. Introduction; 2. Related Work; 3. A Formalism for Graph Probing; 4. Experimental Evaluation; 4.1. Graph Model; 4.2. Generating ""Random"" Collections of Web Pages; 4.3. Experiment #1: Full Graph Matching
4.4. Experiment #2: Subgraph Matching 5. Conclusions; 6. Acknowledgments; References; CHAPTER 3 WEB STRUCTURE ANALYSIS FOR INFORMATION MINING; 1. Introduction; 2. Object Model Architecture; 2.1. HTML Parsing Library; 2.2. Single-Slot HTML Parsing Functions; 2.3. Multi-Slot/Pattern HTML Parsing Functions; 3. User Interface; 4. News Article Extraction; 5. Link Extraction; 6. Stock Quote Extraction; 7. Conclusion; Acknowledgment; References; CHAPTER 4 NATURAL LANGUAGE PROCESSING FOR WEB DOCUMENT ANALYSIS; 1. Introduction; 2. Design Principles; 2.1. Why XML?; 2.2. User Orientation
2.3. Portability 3. Document Suite XDOC; 3.1. Preprocessing Module; 3.1.1. HTML Cleaner; 3.1.2. Structure Tagger; 3.1.3. POS Tagger; 3.2. Syntactic Module; 3.2.1. Syntactic Parser; 3.2.2. Phrase Detector; 3.3. Corpus Based Module; 3.4. Semantic Module; 3.4.1. Semantic Tagger; 3.4.2. Case Frame Analysis; 3.4.3. Semantic Interpretation of Syntactic Structure; 4. Related Work; 5. Conclusion; References; Part II. Document Analysis for Adaptive Content Delivery; CHAPTER 5 REFLOWABLE DOCUMENT IMAGES; 1. Introduction; 2. Image and Layout Analysis; 2.1. Text/Image Segmentation; 2.2. Preprocessing
2.3. Layout Analysis 3. HTML-Based Representations; 4. Reader Applications; 5. New Document Formats; 6. Summary and Conclusions; Acknowledgments; References; CHAPTER 6 EXTRACTION AND MANAGEMENT OF CONTENT FROM HTML DOCUMENTS; 1. Introduction; 2. Research Direction; 3. Current State of the Art; 3.1 Handcrafting; 3.2 Transcoding; 3.3 Adaptive Re-authoring; 4. Proposed Approach; 4.1. Web Page Segmentation; 4.2. Contextual Analysis and Segment Labeling; 4.3. Web-Page Summarization; 4.4. Post-processing; 4.5. Overall Summary of the Content Extraction and Display Process; 5. Results; 6. Discussion
6.1 Web Page Segmentation 6.2 Contextual Analysis and Segment Labeling; 6.3 Web-Page Summarization; 6.4. Display Capabilities; 6.5. Language Independence; 6.6. Current State of Research; 6.7. Supported Devices; 7. Concluding Remarks; References; CHAPTER 7 HTML PAGE ANALYSIS BASED ON VISUAL CUES; 1. Introduction; 1.1. Document Analysis for Search Engines; 1.2. Document Analysis for Adaptive Content Delivery; 2. Visual Similarity of HTML Objects; 2.1. Visual Similarity of Simple Objects; 2.2. Visual Similarity of Container Objects; 3. Pattern Detection and Construction of Structured Documents
3.1. Quantization
Record Nr. UNINA-9910782282803321
Singapore ; ; River Edge, NJ, : World Scientific, 2003
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Web document analysis [[electronic resource] ] : challenges and opportunities / / editors, Apostolos Antonacopoulos, Jianying Hu
Web document analysis [[electronic resource] ] : challenges and opportunities / / editors, Apostolos Antonacopoulos, Jianying Hu
Pubbl/distr/stampa Singapore ; ; River Edge, NJ, : World Scientific, 2003
Descrizione fisica 1 online resource (346 p.)
Disciplina 005.741
Altri autori (Persone) AntonacopoulosApostolos
HuJianying <1966->
Collana Series in machine perception and artificial intelligence
Soggetto topico Data mining
Internet searching
ISBN 1-281-92809-7
9786611928094
981-277-537-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto CONTENTS; PREFACE; Part I. Content Extraction and Web Mining; CHAPTER 1 CLUSTERING OF WEB DOCUMENTS USING A GRAPH MODEL; 1. Introduction; 2. Graphs: Formal Notation; 3. The Extended k-Means Clustering Algorithm; 4. Clustering of Web Documents using the Graph Model; 5. Experimental Results; Acknowledgments; References; CHAPTER 2 APPLICATIONS OF GRAPH PROBING TO WEB DOCUMENT ANALYSIS; 1. Introduction; 2. Related Work; 3. A Formalism for Graph Probing; 4. Experimental Evaluation; 4.1. Graph Model; 4.2. Generating ""Random"" Collections of Web Pages; 4.3. Experiment #1: Full Graph Matching
4.4. Experiment #2: Subgraph Matching 5. Conclusions; 6. Acknowledgments; References; CHAPTER 3 WEB STRUCTURE ANALYSIS FOR INFORMATION MINING; 1. Introduction; 2. Object Model Architecture; 2.1. HTML Parsing Library; 2.2. Single-Slot HTML Parsing Functions; 2.3. Multi-Slot/Pattern HTML Parsing Functions; 3. User Interface; 4. News Article Extraction; 5. Link Extraction; 6. Stock Quote Extraction; 7. Conclusion; Acknowledgment; References; CHAPTER 4 NATURAL LANGUAGE PROCESSING FOR WEB DOCUMENT ANALYSIS; 1. Introduction; 2. Design Principles; 2.1. Why XML?; 2.2. User Orientation
2.3. Portability 3. Document Suite XDOC; 3.1. Preprocessing Module; 3.1.1. HTML Cleaner; 3.1.2. Structure Tagger; 3.1.3. POS Tagger; 3.2. Syntactic Module; 3.2.1. Syntactic Parser; 3.2.2. Phrase Detector; 3.3. Corpus Based Module; 3.4. Semantic Module; 3.4.1. Semantic Tagger; 3.4.2. Case Frame Analysis; 3.4.3. Semantic Interpretation of Syntactic Structure; 4. Related Work; 5. Conclusion; References; Part II. Document Analysis for Adaptive Content Delivery; CHAPTER 5 REFLOWABLE DOCUMENT IMAGES; 1. Introduction; 2. Image and Layout Analysis; 2.1. Text/Image Segmentation; 2.2. Preprocessing
2.3. Layout Analysis 3. HTML-Based Representations; 4. Reader Applications; 5. New Document Formats; 6. Summary and Conclusions; Acknowledgments; References; CHAPTER 6 EXTRACTION AND MANAGEMENT OF CONTENT FROM HTML DOCUMENTS; 1. Introduction; 2. Research Direction; 3. Current State of the Art; 3.1 Handcrafting; 3.2 Transcoding; 3.3 Adaptive Re-authoring; 4. Proposed Approach; 4.1. Web Page Segmentation; 4.2. Contextual Analysis and Segment Labeling; 4.3. Web-Page Summarization; 4.4. Post-processing; 4.5. Overall Summary of the Content Extraction and Display Process; 5. Results; 6. Discussion
6.1 Web Page Segmentation 6.2 Contextual Analysis and Segment Labeling; 6.3 Web-Page Summarization; 6.4. Display Capabilities; 6.5. Language Independence; 6.6. Current State of Research; 6.7. Supported Devices; 7. Concluding Remarks; References; CHAPTER 7 HTML PAGE ANALYSIS BASED ON VISUAL CUES; 1. Introduction; 1.1. Document Analysis for Search Engines; 1.2. Document Analysis for Adaptive Content Delivery; 2. Visual Similarity of HTML Objects; 2.1. Visual Similarity of Simple Objects; 2.2. Visual Similarity of Container Objects; 3. Pattern Detection and Construction of Structured Documents
3.1. Quantization
Record Nr. UNINA-9910821247603321
Singapore ; ; River Edge, NJ, : World Scientific, 2003
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui