MARC details
000 -LEADER |
fixed length control field |
02269nam a2200277 a 4500 |
001 - CONTROL NUMBER |
control field |
vtls000001947 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
MY-PjKIC |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20200206144822.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
100211t1997 000 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
0130950831 |
035 ## - SYSTEM CONTROL NUMBER |
System control number |
0130950831 |
039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE] |
Level of rules in bibliographic description |
201809041640 |
Level of effort used to assign nonsubject heading access points |
faridah7 |
Level of effort used to assign subject headings |
201002111735 |
Level of effort used to assign classification |
VLOAD |
Level of effort used to assign subject headings |
201002111610 |
Level of effort used to assign classification |
VLOAD |
-- |
201002111405 |
-- |
VLOAD |
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) |
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
006.3 KEN |
245 00 - TITLE STATEMENT |
Title |
Solving data mining through pattern recognition / |
Statement of responsibility, etc. |
Ruby L. Kennedy ... [et al.]. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. |
Place of publication, distribution, etc. |
Upper Saddle River, N.J. : |
Name of publisher, distributor, etc. |
Prentice-Hall PTR, |
Date of publication, distribution, etc. |
c1998. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xxv, {various pagings) : |
Other physical details |
ill. + |
Accompanying material |
1 computer laser optical disc. |
440 #0 - SERIES STATEMENT/ADDED ENTRY--TITLE |
Title |
Data Warehousing Institute series from Prentice Hall PTR. |
500 ## - GENERAL NOTE |
General note |
Accompanying CD-ROM held at Circulation Desk : DD480. |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc. note |
Includes bibliographical references and index. |
520 1# - SUMMARY, ETC. |
Summary, etc. |
"Besides explaining the most current theories, Solving Data Mining Problems through Pattern Recognition takes a practical approach to overall project development concerns. The rigorous multi-step method includes defining the pattern recognition problem; collection, preparation, and preprocessing of data; choosing the appropriate algorithm and tuning algorithm parameters; and training, testing, and troubleshooting."--BOOK JACKET. "Pattern classification, estimation, and modeling are addressed using the following algorithms: linear and logistic regression, unimodal Gaussian and Gaussian mixture, multilayered perceptron/backpropagation and radial basis function neural networks, K nearest neighbors and nearest cluster, and K means clustering."--BOOK JACKET. "While some aspects of pattern recognition involve advanced mathematical principles, most successful projects rely on a strong element of human experience and intuition. Solving Data Mining Problems through Pattern Recognition provides a strong theoretical grounding for beginners, yet it also contains detailed models and insights into real-world problem-solving that will inspire more experienced users, be they database designers, modelers, or project leaders."--BOOK JACKET. |
591 ## - |
-- |
Pustaka Uni-Utama |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Pattern recognition systems. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Data Mining. |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Kennedy, Ruby L. |