รายละเอียดในรูปแบบ MARC
| 000 -LEADER |
| fixed length control field |
03241nam a2200397 4500 |
| 001 - CONTROL NUMBER |
| control field |
33406 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
| control field |
20230423231440.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
| fixed length control field |
150620t20122002xxum a00o 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| International Standard Book Number |
9781439869468 |
| 049 ## - LOCAL HOLDINGS (OCLC) |
| -- |
PITLIB |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER |
| Classification number |
QA76.9.D343 W83 2012 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
| Personal name |
Wu, James |
| 9 (RLIN) |
43347 |
| 245 10 - TITLE STATEMENT |
| Title |
Foundations of predictive analytics/ |
| Statement of responsibility, etc. |
A.W. Boundy |
| Medium |
[book] |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
| Place of publication, distribution, etc. |
Boca Raton, FL : |
| Name of publisher, distributor, etc. |
CRC Press, |
| Date of publication, distribution, etc. |
2012. |
| -- |
4402 |
| 300 ## - PHYSICAL DESCRIPTION |
| Extent |
317p |
| 449 ## - |
| -- |
•L012– New Arrivals- Sep. 2015 |
| 500 ## - GENERAL NOTE |
| General note |
"Preface this text is a summary of techniques of data analysis and modeling that the authors have encountered and used in our two-decades experience of practicing the art of applied data mining across many different fields. The authors have worked in this field together and separately in many large and small companies, including the Los Alamos National Laboratory, Bank One (JPMorgan Chase), Morgan Stanley, and the startups of the Center for Adaptive Systems Applications (CASA), the Los Alamos Computational Group and ID Analytics. We have applied these techniques to traditional and nontraditional problems in a wide range of areas including consumer behavior modeling (credit, fraud, marketing), consumer products, stock forecasting, fund analysis, asset allocation, and equity and xed income options pricing. This monograph provides the necessary information for understanding the common techniques for exploratory data analysis and modeling. It also explains the details of the algorithms behind these techniques, including underlying assumptions and mathematical formulations. It is the authors' opinion that in order to apply di erent techniques to di erent problems appropriately, it is essential to understand the assumptions and theory behind each technique. It is recognized that this work is far from a complete treatise on the subject. Many excellent additional texts exist on the popular subjects and it was not a goal for this present text to be a complete compilation. Rather this text contains various discussions on many practical subjects that are frequently missing from other texts, as well as details on some subjects that are not often or easily found. Thus this text makes an excellent supplemental and referential resource for the practitioners of these subjects"--Provided by publisher |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
Data mining |
| 9 (RLIN) |
17634 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
Predictive control--mathematical models |
| 9 (RLIN) |
43348 |
| 650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
Automatic control |
| 9 (RLIN) |
11797 |
| 690 #0 - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN) |
| Topical term or geographic name as entry element |
0022 วิศวกรรมศาสตรบัณฑิต สาขาวิศวกรรมอุตสาหการ IE (ป.ตรี) |
| 9 (RLIN) |
49 |
| 700 0# - ADDED ENTRY--PERSONAL NAME |
| Personal name |
Coggeshall, Stephen |
| 9 (RLIN) |
43349 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
| Koha item type |
หนังสือ |
| 970 ## - |
| -- |
1 |
| -- |
Introdction |
| -- |
p.1 |
| 970 ## - |
| -- |
2 |
| -- |
Properties of statistical Distributions |
| -- |
p.9 |
| 970 ## - |
| -- |
3 |
| -- |
Important Matrix Relationships |
| -- |
p.63 |
| 970 ## - |
| -- |
4 |
| -- |
Linear Modeling and Regression |
| -- |
p.83 |
| 970 ## - |
| -- |
5 |
| -- |
Nonlinear Modeling |
| -- |
p.129 |
| 970 ## - |
| -- |
6 |
| -- |
Time Series Analysis |
| -- |
o.173 |
| 970 ## - |
| -- |
7 |
| -- |
Data Preparaition and Variable Selection |
| -- |
p.195 |
| 970 ## - |
| -- |
8 |
| -- |
Model Goodness Maasures |
| -- |
p.213 |
| 970 ## - |
| -- |
9 |
| -- |
Optimization Methods |
| -- |
p.231 |
| 970 ## - |
| -- |
10 |
| -- |
Miscellaneous Topics |
| -- |
p.271 |
| 988 ## - |
| -- |
33406 |