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Chapter and Conference Paper
Matrices, Compression, Learning Curves: Formulation, and the GroupNteach Algorithms
Suppose you are a teacher, and have to convey a set of object-property pairs (‘lions eat meat’). A good teacher will convey a lot of information, with little effort on the student side. What is the best and mo...
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Chapter and Conference Paper
Electronic Textbooks and Data Mining
Education is known to be the key determinant of economic growth and prosperity [8,12]. While the issues in devising a high-quality educational system are multi-faceted and complex, textbooks are acknowledged t...
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Chapter and Conference Paper
Enriching Education through Data Mining
Education is acknowledged to be the primary vehicle for improving the economic well-being of people [1,6]. Textbooks have a direct bearing on the quality of education imparted to the students as they are the p...
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Article
Privacy-preserving indexing of documents on the network
With the ubiquitous collection of data and creation of large distributed repositories, enabling search over this data while respecting access control is critical. A related problem is that of ensuring privacy ...
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Chapter and Conference Paper
On Honesty in Sovereign Information Sharing
We study the following problem in a sovereign information-sharing setting: How to ensure that the individual participants, driven solely by self-interest, will behave honestly, even though they can benefit fro...
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Chapter and Conference Paper
Data Privacy
There is increasing need to build information systems that protect the privacy and ownership of data without impeding the flow of information. We will present some of our current work to demonstrate the techni...
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Chapter and Conference Paper
An Implementation of P3P Using Database Technology
The privacy of personal information on the Internet has become a major concern for governments, businesses, media, and the public. Platform for Privacy Preferences (P3P), developed by the World Wide Web Consor...
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Chapter and Conference Paper
Data Privacy
There is increasing need to build information systems that protect the privacy and ownership of data without impeding the flow of information. We will present some of our current work to demonstrate the techni...
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Article
Watermarking relational data: framework, algorithms and analysis
We enunciate the need for watermarking database relations to deter data piracy, identify the characteristics of relational data that pose unique challenges for watermarking, and delineate desirable properties ...
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Chapter and Conference Paper
Trust Management for the Semantic Web
Though research on the Semantic Web has progressed at a steady pace, its promise has yet to be realized. One major difficulty is that, by its very nature, the Semantic Web is a large, uncensored system to whic...
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Chapter and Conference Paper
Athena: Mining-Based Interactive Management of Text Databases
We describe Athena: a system for creating, exploiting, and maintaining a hierarchy of textual documents through interactive miningbased operations. Requirements of any such system include speed and minimal end...
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Article
Scalable feature selection, classification and signature generation for organizing large text databases into hierarchical topic taxonomies
We explore how to organize large text databases hierarchically by topic to aid better searching, browsing and filtering. Many corpora, such as internet directories, digital libraries, and patent databases are...
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Chapter and Conference Paper
SLIQ: A fast scalable classifier for data mining
Classification is an important problem in the emerging field of data mining. Although classification has been studied extensively in the past, most of the classification algorithms are designed only for memory...
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Chapter and Conference Paper
Mining sequential patterns: Generalizations and performance improvements
The problem of mining sequential patterns was recently introduced in [3]. We are given a database of sequences, where each sequence is a list of transactions ordered by transaction-time, and each transaction i...
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Chapter and Conference Paper
Type derivation using the projection operation
We present techniques for deriving types from existing objectoriented types using the relational algebraic projection operation and for inferring the methods that are applicable to these types. Such type deriv...
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Article
Guest editor's introduction
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Chapter and Conference Paper
Recovery algorithms for database machines with non-volatile main memory
We consider a hypothetical database machine in which the main memory is non-volatile, and present recovery algorithms for such a machine. These algorithms are considerably simpler and more efficient than class...
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Chapter
A Parallel Logging Algorithm for Multiprocessor Database Machines
During the past decade, a number of database tnachine designs have been proposed. However, these designs have been optitnized only with respect to the retrieval queries, and virtually no attention has been giv...