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Encyclopedia of Library and Information Science

Volume 57 - Supplement 20: Artificial Intelligence and Machine Learning Approaches to Fraud Investigations to Visual Search in Modern Human-Computer Interfaces

Edited by Allen Kent

Published September 26th 1995 by CRC Press – 368 pages

Series: Library and Information Science Encyclopedia

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Description

Supplement 20: Artificial Intelligence and Machine Learning Approaches to Fraud Investigations to Visual Search in Modern Human-Computer Interfaces

Contents

"Artificial Intelligence and Machine Learning Approaches to Fraud Investigations, James E. Bowen CD-ROM Software Evaluation, Trevor Richards and Christine D. Brown CDS/ISIS: UNESCO's Information Retrieval Package for Microcomputers and the VAX Minicomputer, Alan Hopkinson Computer-Assisted Microcomputer Maintenance, David J. Ives Data and Data Quality, Christopher Fox, Antany Levitin, and Thomas C. Redman Dimensions of Native American Literature for the Library Collection, Donna E. Norton End-User Software, Eric G. Sieverts Ethical Issues in Information Systems, Vladimir Zwass Information Retrieval Experimentation, Jean Tague-Sutcliffe International Students in American Library and Information Science Schools, Katherine Cveljo Knowledge-Based Systems in the Legal Domain, Trevor J. M. Bench-Capon Libraries and Archives in American Zoological Parks and Aquariums, Vernon N. Kisling, Jr. Maintenance of Legal Knowledge-Based Systems, Trevor J. M. Bench-Capon Social Science Computer Simulation, G. David Garson Visual Search in Modern Human-Computer Interfaces, Derek Scott "

Name: Encyclopedia of Library and Information Science: Volume 57 - Supplement 20: Artificial Intelligence and Machine Learning Approaches to Fraud Investigations to Visual Search in Modern Human-Computer Interfaces (Hardback) – CRC Press 
Description: Edited by Allen Kent. Supplement 20: Artificial Intelligence and Machine Learning Approaches to Fraud Investigations to Visual Search in Modern Human-Computer Interfaces
Categories: Reference & Information Science