Reliable Knowledge Discovery (Record no. 101156)

000 -LEADER
fixed length control field 04208nam a22005415i 4500
001 - CONTROL NUMBER
control field 978-1-4614-1903-7
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140220083244.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 120223s2012 xxu| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781461419037
-- 978-1-4614-1903-7
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-1-4614-1903-7
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q334-342
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TJ210.2-211.495
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code TJFM1
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM004000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Dai, Honghua.
Relator term editor.
245 10 - TITLE STATEMENT
Title Reliable Knowledge Discovery
Medium [electronic resource] /
Statement of responsibility, etc edited by Honghua Dai, James N. K. Liu, Evgueni Smirnov.
264 #1 -
-- Boston, MA :
-- Springer US,
-- 2012.
300 ## - PHYSICAL DESCRIPTION
Extent XVIII, 308p. 77 illus.
Other physical details online resource.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Transductive Reliability Estimation for Individual Classifications in Machine Learning and Data Mining -- Estimating Reliability for Assessing and Correcting Individual Streaming Predictions -- Error Bars for Polynomial Neural Networks -- Robust-Diagnostic Regression: A Prelude for Inducing Reliable Knowledge from Regression -- Reliable Graph Discovery -- Combining Version Spaces and Support Vector Machines for Reliable Classification -- Reliable Ticket Routing in Expert Networks -- Reliable Aggregation on Network Traffic for Web Based Knowledge Discovery -- Sensitivity and Generalization of SVM with Weighted and Reduced Features -- Reliable Gesture Recognition with Transductivie Confidence Machines -- Reliability in A Feature-Selection Process for Intrusion Detection -- The Impact of Sample Size and Data Quality to Classification Reliability -- A Comparative Analysis of Instance-based Penalization Techniques for Classification -- Subsequence Frequency Measurement and its Impact on Reliability of Knowledge Discovery in Single Sequences -- Improving Reliability of Unbalanced Text Mining by Reducing Performance Bias -- Formal Representation and Verification of Ontology Using State Controlled Coloured Petri Nets -- A Reliable System Platform for Group Decision Support under Uncertain Environments -- Index.
520 ## - SUMMARY, ETC.
Summary, etc Reliable Knowledge Discovery focuses on theory, methods, and techniques for RKDD, a new sub-field of KDD. It studies the theory and methods to assure the reliability and trustworthiness of discovered knowledge and to maintain the stability and consistency of knowledge discovery processes. RKDD has a broad spectrum of applications, especially in critical domains like medicine, finance, and military. Reliable Knowledge Discovery also presents methods and techniques for designing robust knowledge-discovery processes. Approaches to assessing the reliability of the discovered knowledge are introduced. Particular attention is paid to methods for reliable feature selection, reliable graph discovery, reliable classification, and stream mining. Estimating the data trustworthiness is covered in this volume as well. Case studies are provided in many chapters. Reliable Knowledge Discovery is designed for researchers and advanced-level students focused on computer science and electrical engineering as a secondary text or reference. Professionals working in this related field and KDD application developers will also find this book useful.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer science.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Database management.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer graphics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Optical pattern recognition.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Science.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial Intelligence (incl. Robotics).
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Database Management.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Pattern Recognition.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data Storage Representation.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Graphics.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Liu, James N. K.
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Smirnov, Evgueni.
Relator term editor.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9781461419020
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-4614-1903-7
912 ## -
-- ZDB-2-SCS

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