Advances in Web Intelligence and Data Mining

1. Part 1

   1. CatS: A Classification-Powered Meta-Search Engine

      • Miloš Radovanović, Mirjana Ivanović

      Pages 191-200

   2. A Decision Tree Framework for Semi-Automatic Extraction of Product Attributes from the Web

      • Lior Rokach, Roni Romano, Barak Chizi, Oded Maimon

      Pages 201-210

   3. A Dynamic Generation Algorithm for Meta Process in Intelligent Platform of Virtual Travel Agency

      • Qi Sui, Hai-yang Wang

      Pages 211-219

   4. Linguistic Summaries of Standardized Documents

      • Piotr S. Szczepaniak, Joanna Ochelska

      Pages 221-232

   5. A Web-knowledge-based Clustering Model for Gene Expression Data Analysis

      • Na Tang, V. Rao Vemuri

      Pages 233-242

2. Part 2

   1. Estimations of Similarity in Formal Concept Analysis of Data with Graded Attributes

      • Radim Bělohlávek, Vilém Vychodil

      Pages 243-252

   2. Kernels for the Relevance Vector Machine - An Empirical Study

      • David Ben-Shimon, Armin Shmilovici

      Pages 253-263

   3. A Decision-Tree Framework for Instance-space Decomposition

      • Shahar Cohen, Lior Rokach, Oded Maimon

      Pages 265-274

   4. On prokaryotes’ clustering based on curvature distribution

      • L. Kozobay-Avraham, A. Bolshoy, Z. Volkovich

      Pages 275-284

   5. Look-Ahead Mechanism Integration in Decision Tree Induction Models

      • Michael Roizman, Mark Last

      Pages 285-294

   6. Feature Selection by Combining Multiple Methods

      • Lior Rokach, Barak Chizi, Oded Maimon

      Pages 295-304

   7. Clustering and Classification of Textual Documents Based on Fuzzy Quantitative Similarity Measure — a Practical Evaluation

      • Piotr S. Szczepaniak

      Pages 305-317

   8. Oriented k-windows: A PCA driven clustering method

      • D. K. Tasoulis, D. Zeimpekis, E. Gallopoulos, M. N. Vrahatis

      Pages 319-328

   9. A cluster stability criteria based on the two-sample test concept

      • Z. Volkovich, Z. Barzily, L. Morozensky

      Pages 329-338

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.

• Web Intelligence
• XML
• algorithms
• classification
• communication
• data analysis
• data mining
• information system
• multimedia
• ontology
• operator
• optimization
• semantic web
• stability
• web mining

• Department of Information Systems Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel

  Mark Last

• Institute of Computer Sciences, Technical University of Lodz, Lodz, Poland

  Piotr S. Szczepaniak

• Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

  Piotr S. Szczepaniak

• Department of Software Engineering, ORT Braude College, Karmiel, Israel

  Zeev Volkovich

• Department of Computer Science and Engineering, University of South Florida, Tampa, USA

  Abraham Kandel

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