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Advances in Web Intelligence and Data Mining de Mark Last

Advances in Web Intelligence and Data Mining: Studies in Computational Intelligence, cartea 23

Editat de Mark Last, Piotr S. Szczepaniak, Zeev Volkovich, Abraham Kandel
en Limba Engleză Hardback – 23 mai 2006

Structura progresivă a volumului Advances in Web Intelligence and Data Mining reflectă evoluția necesară de la conceptele teoretice de inteligență computațională la implementări tehnice riguroase în mediul online. Observăm o organizare care prioritizează soluțiile practice pentru provocările web-ului modern, începând cu automatizarea extracției de date (sistemul DataRover) și continuând cu metodologii de măsurare a încrederii în e-business sau rutarea în rețele de senzori. Subliniem faptul că acest volum, coordonat de editori precum Abraham Kandel și Mark Last, integrează expertiza acestora în logica fuzzy și pattern recognition, teme explorate anterior în lucrări precum Fuzzy Mathematical Analysis and Advances in Computational Mathematics sau Applied Pattern Recognition.

Abordarea diferă de Advances in Web Intelligence prin accentul sporit pus pe componenta de data mining și implementare — este mai puțin abstractă și mult mai aplicabilă în contexte industriale concrete. Merită menționat că, spre deosebire de alte lucrări pur teoretice din domeniu, acest volum din seria Studies in Computational Intelligence tratează subiecte extrem de specifice, cum ar fi utilizarea Wikipedia pentru adnotări semantice sau protecția împotriva atacurilor în rețele P2P prin manipularea pachetelor bazată pe distribuția Zipf. Progresia capitolelor ghidează cititorul de la managementul conținutului și ontologii către securitate și sisteme de recomandare în rețele sociale, oferind o perspectivă tehnică asupra modului în care algoritmii de învățare automată pot optimiza explorarea web-ului.

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Specificații

ISBN-13: 9783540338796
ISBN-10: 3540338799
Pagini: 340
Ilustrații: XVI, 340 p.
Dimensiuni: 155 x 235 x 27 mm
Greutate: 0.67 kg
Ediția:2006
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Studies in Computational Intelligence

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

De ce să citești această carte

Recomandăm acest volum cercetătorilor și inginerilor software care au nevoie de soluții concrete pentru procesarea datelor web la scară largă. Cititorul câștigă acces la studii de caz documentate despre extracția automată a informațiilor și securitatea rețelelor, beneficiind de un fundament matematic solid aplicat direct în tehnologii de căutare și analiză a conținutului, esențial pentru dezvoltarea sistemelor inteligente contemporane.

Descriere scurtă

Today, in the middle of the ?rst decade of the 21st century, the Internet has become a major communication medium, where virtually any kind of content can be transferred instantly and reliably between individual users and entire - ganizations located in any part of the globe. The World Wide Web (WWW) has a tremendous e?ect on our daily activities at work and at home. Consequently, more e?ective and e?cient methods and technologies are needed to make the most of the Web’s nearly unlimited potential. The new Web-related research directions include intelligent methods usually associated with the ?elds of c- putational intelligence, soft computing, and data mining. AWIC, the “Atlantic Web Intelligence Conferences” continue to be a forum for exchange of new ideas and novel practical solutions in this new and exciting area. The conference was born as an initiative of the WIC-Poland and the WIC- Spain Research Centers, both belonging to the Web Intelligence Consortium – WIC (http://wi-consortium.org/). Prior to this year, three AWIC conferences have been held: in Madrid, Spain (2003), in Cancun, Mexico (2004), and in L´ od´ z, Poland (2005). AWIC 2006 took place in Beer-Sheva, Israel during June 5–7, 2006, organized locally by Ben-Gurion University of the Negev. The book presents state-of-the-art developments in the ?eld of computati- ally intelligent methods applied to various aspects and ways of Web exploration.

Cuprins

1.- DataRover: An Automated System for Extracting Product Information From Online Catalogs.- A New Path Generalization Algorithm for HTML Wrapper Induction.- Trustworthiness Measurement Methodology for e-Business.- Routing Using Messengers in Sparse and Disconnected Mobile Sensor Networks.- Content Consistency Model for Pervasive Internet Access.- Content Description Model and Framework for Efficient Content Distribution.- Exploiting Wikipedia in Integrating Semantic Annotation with Information Retrieval.- Ontology based Query Rewriting on Integrated XML based Information Systems.- Visually Exploring Concept-Based Fuzzy Clusters in Web Search Results.- A Grid Scheduling Optimization Strategy Based on Fuzzy Multi-Attribute Group Decision-Making.- An Adaptive PC to Mobile Web Contents Transcoding System Based on MPEG-21 Multimedia Framework.- Recommendation Framework for Online Social Networks.- Packet Manipulating Based on Zipf’s Distribution to Protect from Attack in P2P Information Retrieval.- Investigation of the Fuzzy System for the Assessment of Cadastre Operators’ Work.- DLAIP: A Description Logic Based Approach for Dynamic Semantic Web Services Composition.- Adding Support to User Interaction in Egovernment Environment.- Using Consensus Methodology in Processing Inconsistency of Knowledge.- Creating Synthetic Temporal Document Collections for Web Archive Benchmarking.- Predicting Stock Trends with Time Series Data Mining and Web Content Mining.- CatS: A Classification-Powered Meta-Search Engine.- A Decision Tree Framework for Semi-Automatic Extraction of Product Attributes from the Web.- A Dynamic Generation Algorithm for Meta Process in Intelligent Platform of Virtual Travel Agency.- Linguistic Summaries of Standardized Documents.- A Web-knowledge-basedClustering Model for Gene Expression Data Analysis.- 2.- Estimations of Similarity in Formal Concept Analysis of Data with Graded Attributes.- Kernels for the Relevance Vector Machine - An Empirical Study.- A Decision-Tree Framework for Instance-space Decomposition.- On prokaryotes’ clustering based on curvature distribution.- Look-Ahead Mechanism Integration in Decision Tree Induction Models.- Feature Selection by Combining Multiple Methods.- Clustering and Classification of Textual Documents Based on Fuzzy Quantitative Similarity Measure — a Practical Evaluation.- Oriented k-windows: A PCA driven clustering method.- A cluster stability criteria based on the two-sample test concept.

Textul de pe ultima copertă

The Internet has become a major communication medium, where virtually any kind of content can be transferred instantly and reliably between individual users and entire organizations located in any part of the globe. Consequently, more effective and efficient methods and technologies are needed to make the most of the Web's nearly unlimited potential. The new Web-related research directions include intelligent methods usually associated with the fields of computational intelligence, soft computing, and data mining. This book presents state-of-the-art developments in the area of computationally intelligent methods applied to various aspects and ways of Web exploration and Web mining. Some novel data mining algorithms that can lead to more effective and intelligent Web-based systems are also described. Scientists, engineers, and research students are expected to find many inspiring ideas in this volume.

Caracteristici

Recent advances in algorithmic techniques in data mining