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20140310151113.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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120223s2012 xxu| s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781461419037 |
|
978-1-4614-1903-7 |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
Q334-342 |
|
|---|
| Classification number |
TJ210.2-211.495 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
006.3 |
| Edition number |
23 |
| 264 #1 - |
|---|
| -- |
Boston, MA : |
| -- |
Springer US, |
| -- |
2012. |
| 912 ## - |
|---|
| -- |
ZDB-2-SCS |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Dai, Honghua. |
| Relator term |
editor. |
| 245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE |
|---|
| Title |
Reliable Knowledge Discovery |
| Medium |
[electronic resource] / |
| Statement of responsibility, etc |
edited by Honghua Dai, James N. K. Liu, Evgueni Smirnov. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
XVIII, 308p. 77 illus. |
| Other physical details |
online resource. |
| 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. |
|
|---|
| Topical term or geographic name as entry element |
Database management. |
|
|---|
| Topical term or geographic name as entry element |
Artificial intelligence. |
|
|---|
| Topical term or geographic name as entry element |
Computer graphics. |
|
|---|
| Topical term or geographic name as entry element |
Optical pattern recognition. |
|
|---|
| Topical term or geographic name as entry element |
Computer Science. |
|
|---|
| Topical term or geographic name as entry element |
Artificial Intelligence (incl. Robotics). |
|
|---|
| Topical term or geographic name as entry element |
Database Management. |
|
|---|
| Topical term or geographic name as entry element |
Pattern Recognition. |
|
|---|
| Topical term or geographic name as entry element |
Data Storage Representation. |
|
|---|
| 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. |
|
|---|
| 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 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Item type |
E-Book |
