Next Generation Information Technologies And Systems

Name: Springer Nature & We Would Like To Thank All The Authors Who Submitted Papers, The Program Committee Members, The Presenters, And Everybody Who Assisted In Making NGITS2002 A Reality.
Brand: Springer Nature
SKU: CBAC-11266
Price: 42.79 EUR
Availability: InStock

About The In response to the Call for Papers, 22 papers were submitted. Each paper was evaluated by three Program Committee members. We accepted 11 papers from 3 continents and 5 countries, Israel (5 papers), US (3 papers), Germany, Cyprus, and The Netherlands (1 paper from each)

NGITS2002 was the ?fth workshop of its kind, promoting papers that discuss new technologies in information systems. Each paper was evaluated by three Program Committee members. Following the success of the four p- vious workshops (1993, 1995, 1997, and 1999), the ?fth NGITS Workshop took place on June 24â25, 2002, in the ancient city of Caesarea. The workshop program consisted of ?ve paper sessions, two keynote lectures, and one panel discussion. We would like to thank all the authors who submitted papers, the program committee members, the presenters, and everybody who assisted in making NGITS2002 a reality. We accepted 11 papers from 3 continents and 5 countries, Israel (5 papers), US (3 papers), Germany, Cyprus, and The Netherlands (1 paper from each). In response to the Call for Papers, 22 papers were submitted. The topics of the paper sessions are: Advanced Query Processing, Web Applications, Moving Objects, Advanced Information Models, and Advanced Software Engineering.

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Next Generation Information Technologies And Systems

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Combinatorial Pattern Matching

Combinatorial Pattern Matching (CPM) addresses issues of searching and matching strings and more complicated patterns such as trees, regular expr- sions, graphs, point sets, and arrays, in various formats.These involve requirements for information retrieval in heterogeneous databases, data compression, and pattern recognition. In addition, there were invited lectures by Shinichi Morishita (University of Tokyo) and Hiroki Arimura (Kyushu U- versity).

Computational Learning Theory

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The book presents topical sections on Modeling the User, Discovering Rules and Patterns of Navigation, and Measuring interestingness in Web Usage Mining.

It originates from the WEBKDD'99 Workshop held during the 1999 KDD Conference. Depending on whether the data used in the knowledge discovery process concerns the Web itself in terms of content or the usage of the content, one distinguishes between Web content mining and Web usage mining.After the advent of data mining and its successful application on conventional data, Web-related information has been an appropriate and increasingly popular target of knowledge discovery. Web Usage Analysis and User Profiling The ten revised full papers presented together with an introductory survey by the volume editors documents the state of the art in this exciting new area.