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  1. No Access

    Chapter and Conference Paper

    Database support for efficiently maintaining derived data

    Derived data is maintained in a database system to correlate and summarize base data which record real world facts. As base data changes, derived data needs to be recomputed. A high performance system should e...

    Brad Adelberg, Ben Kao, Hector Garcia-Molina in Advances in Database Technology — EDBT '96 (1996)

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    Chapter and Conference Paper

    Using recurrent selection to improve GA performance

    Genetic algorithms (GA's) are based on the idea that solutions to otherwise intractable problems can be derived by mimicking natural evolution. With a few exceptions, however, GA's are limited to haploid imple...

    Ben S. Hadad, Christoph F. Eick in Foundations of Intelligent Systems (1997)

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    Chapter and Conference Paper

    Determining attribute relevance in decision trees

    Concept formation, an artificial intelligence classification technique, has been used successfully by many researchers in predicting outcomes of new objects based on a decision tree built from previously seen ...

    Mirsad Hadzikadic, Ben F. Bohren in Foundations of Intelligent Systems (1997)

  4. Chapter and Conference Paper

    Trend graphs: Visualizing the evolution of concept relationships in large document collections

    The proliferation of digitally available textual data necessitates automatic tools for analyzing large textual collections. Thus, in analogy to data mining for structured databases, text mining is defined for tex...

    Ronen Feldman, Yonatan Aumann in Principles of Data Mining and Knowledge Di… (1998)

  5. Chapter and Conference Paper

    Barter: A backbone architecture for trade of electronic content

    Barter is a scalable, highly-available and efficient electronic commerce system that facilitates digital content trade over an open network. Barter is designed to operate over a large-scale, global...

    Gadi Shamir, Michael Ben-Or, Danny Dolev in Trends in Distributed Systems for Electron… (1998)

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    Chapter and Conference Paper

    A Fast Algorithm for Density-Based Clustering in Large Database

    Clustering in large database is an important and useful data mining activity. It expects to find out meaningful patterns among the data set. Some new requirements of clustering have been raised : good efficien...

    Bo Zhou, David W. Cheung, Ben Kao in Methodologies for Knowledge Discovery and Data Mining (1999)

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    Chapter and Conference Paper

    A Study on Musical Features for Melody Databases

    The design of content-based music retrieval systems on the Web is a challenge, since music is auditory, temporal, and multidimensional — the same piece can be interpreted in multiple ways. Most literatures on ...

    Yip Chi Lap, Ben Kao in Database and Expert Systems Applications (1999)

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    Chapter and Conference Paper

    DROLAP - A Dense-Region Based Approach to On-Line Analytical Processing

    ROLAP (Relational OLAP) and MOLAP (Multidimensional OLAP) are two opposing techniques for building On-line Analytical Processing (OLAP) systems. MOLAP has good query performance while ROLAP is based on mature ...

    David W. Cheung, Bo Zhou, Ben Kao, Kan Hu in Database and Expert Systems Applications (1999)

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    Chapter and Conference Paper

    LGen — A Lattice-Based Candidate Set Generation Algorithm for I/O Efficient Association Rule Mining

    Most algorithms for association rule mining are variants of the basic Apriori algorithm [2]. One characteristic of these Aprioribased algorithms is that candidate itemsets are generated in rounds, with the size o...

    Chi Lap Yip, K. K. Loo, Ben Kao in Methodologies for Knowledge Discovery and … (1999)

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    Chapter and Conference Paper

    Feature Extraction Using Fractal Codes

    Fast and successful searching for an object in a multimedia database is a highly desirable functionality. Several approaches to content based retrieval for multimedia databases can be found in the literature [9,1...

    Ben A. M. Schouten, Paul M. de Zeeuw in Visual Information and Information Systems (1999)

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    Chapter and Conference Paper

    BRRA: A Based Relevant Rectangles Algorithm for Mining Relationships in Databases

    Data mining is the discovery of previously unknown or hidden and potentially useful knowledge in databases. In this paper, we present an algorithm, called BRRA, that mines relationships in a database in order ...

    Sadok Ben Yahia, Ali Jaoua in Methodologies for Knowledge Discovery and Data Mining (1999)

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    Chapter and Conference Paper

    Change Detection by Classification of a Multi-temporal Image

    Kee** track of changes in our environment is an important application of remote sensing. To express those changes in terms or thematic classes can be done by comparing classifications of different dates, whi...

    Ben Gorte in Integrated Spatial Databases (1999)

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    Chapter and Conference Paper

    Dynamic Configuration and Enforcement of Access Control for Mobile Components

    Dynamic execution layout is the capability to (re)map at runtime the logical components of a distributed application onto physical hosts. From the resource management perspective, this paradigm raises three ch...

    Yoad Gidron, Israel Ben-Shaul, Yariv Aridor in Next Generation Information Technologies a… (1999)

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    Chapter and Conference Paper

    An Optimization Problem in Data Cube System Design

    In an OLAP system, we can use data cubes (precomputed multidimensional views of data) to support real-time queries. To reduce the maintenance cost, which is related to the number of cubes materialized, some cu...

    Edward Hung, David W. Cheung, Ben Kao in Knowledge Discovery and Data Mining. Curre… (2000)

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    Chapter and Conference Paper

    Text-Source Discovery and GlOSS Update in a Dynamic Web

    “Text-source discovery” is the problem of identifying relevant document databases that potentially contain documents that match a user query. GlOSS [6] is a cost-effective technique for solving the text-source di...

    Chi-Yuen Ng, Ben Kao, David Cheung in Knowledge Discovery and Data Mining. Curre… (2000)

  16. No Access

    Chapter and Conference Paper

    Meta-queries - Computation and Evaluation

    Metaquery (also known as metapattern) is a datamining tool useful for learning rules involving more than one relation in the database. A metaquery is a template, or a second-order proposition in a language that d...

    Rachel Ben-Eliyahu-Zohary, Ehud Gudes in Data Warehousing and Knowledge Discovery (2000)

  17. No Access

    Chapter and Conference Paper

    Exploiting the Duality of Maximal Frequent Itemsets and Minimal Infrequent Itemsets for I/O Efficient Association Rule Mining

    Any algorithm for mining association rules must discover the set of all maximal frequent itemsets (maxL) from a database. Given a set of itemsets X, to verify that X is maxL, two conditions must be checked: (1) a...

    K. K. Loo, Yip Chi Lap, Ben Kao, David Cheung in Database and Expert Systems Applications (2000)

  18. No Access

    Chapter and Conference Paper

    An Adaptive Document Generation Based on Matrix of Contents

    We describe the mechanism used in the CAMELEON system to produce contents adapted to the user. The mechanism is based on matrix products using representations of users and contents by means of boolean vectors.

    Mona Laroussi, Pr Mohamed Ben Ahmed in Adaptive Hypermedia and Adaptive Web-Based… (2000)

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    Chapter and Conference Paper

    Completing missing values using discovered formal concepts

    Over the past decades there has been a huge increase in the amount of data being stored in databases as well as the number of database applications in business and the scientific domain. This explo- sion has p...

    S. Ben Yahia, Kh. Arour, A. Jaoua in Database and Expert Systems Applications (2000)

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    Chapter and Conference Paper

    Efficient Algorithms for Concept Space Construction

    The vocabulary problem in information retrieval arises because authors and indexers often use different terms for the same concept. A thesaurus defines map**s between different but related terms. It is widel...

    Chi Yuen Ng, Joseph Lee, Felix Cheung in Advances in Knowledge Discovery and Data M… (2001)

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