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| fixed length control field |
04402nam a22003497a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20230213104850.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
230127b xxu||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9780124166325 [hardbound] |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
University of Cebu-Banilad |
| Transcribing agency |
University of Cebu-Banilad |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
006.312015195 N63 2018 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Nisbet, Robert, |
| Relator term |
author. |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Handbook of statistical analysis and data mining applications / |
| Statement of responsibility, etc |
Robert Nisbet, Gary Miner, Ken Yale ; guest authors of selected chapters, John Elder, Andy Peterson. |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
Second edition. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
Amsterdam : |
| Name of publisher, distributor, etc |
Academic Press, |
| Date of publication, distribution, etc |
c2018. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xxix, 792 pages : |
| Other physical details |
color illustrations, charts (chiefly color), portraits (some color) ; |
| Dimensions |
25 cm |
| 336 ## - |
|---|
| -- |
rdacontent |
| -- |
text |
| 337 ## - |
|---|
| -- |
rdamedia |
| -- |
unmediated |
| 338 ## - |
|---|
| -- |
rdacarrier |
| -- |
volume |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes bibliographical references and index. |
| 505 ## - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Contents: Part I History of phase of data analysis, basic theory, and the data mining process -- 1 The background for data mining practice -- 2 Theoretical considerations for data mining -- 3 The data mining and predictive analytic process -- 4 Data understanding and preparation -- 5 Feature selection -- 6 Accessory tools for doing data mining -- Part II The algorithms and methods in data mining and predictive analytics and some domain areas -- 7 Basic algorithms for data mining: a brief overview -- 8 Advanced algorithms for data mining -- 9 Classification -- 10 Numerical prediction -- 11 Model evaluation and enhancement -- 12 Predictive analytics for population health and care -- 13 Big data in education: new efficiencies for recruitment, learning and retention of students and donors -- 14 Customer response modeling -- 15 Fraud detention -- Part III Tutorials and case studies -- Tutorial A Example of data mining recipes using windows 10 and statistica 13 -- Tutorial B Using the statistica data mining workspace method for analysis of hurricane data (Hurrdata.sta) -- Tutorial C Case study - using SPSS modeler and STATISTICA to predict student success at high-stakes nuring examination (NCLEX) -- Tutorial D Constructing a histogram in KNIME using MidWest company personality data -- Tutorial E Feature selection on KNIME -- Tutorial F Medical/business tutorial -- Tutorial G A KNIME exercise, using alzheimer's training data ot tutorial F -- Tutorial H Data prep 1-1: merging data sources -- Tutorial I Data prep1-2: data description -- Tutorial J Data prep 2-1: data cleaning and recording -- Tutorial K Data prep 2-2: dummy coding category variables -- Tutorial L Data prep 2-3 Outlier handling -- Tutorial M Data prep 3-1: filling missing values with constrants -- Tutorial N Data prep 3-2: filling missing values with formulas -- Tutorial O Data prep 3-3: filling missing values with a model -- Tutorial P City of Chicago crime map: a case study predicting certain kinds of crime using statistica data miner and text miner -- Tutorial Q Using customer churn data to develop and select a best predictive model for client defection using STATISTICA data miner 13 64-bit for windows 10 -- Tutorial R Example with C&RT to predict and display possible structural relationships -- Tutorial S Clinical psychology: making decisions about best therapy for a client -- Part IV Model ensembles, model complexity; using the right model for the right use, significance, ethics, and the future, and advanced processes -- 16 The apparent paradox of complexity in ensemble modeling -- 17 The "right model" for the "right purpose": when less is good enough -- 18 A data preparation cookbook -- 19 Deep learning -- 20 Signigicance versus luck in the age of mining: the issues of P-value "significance" and "ways to test significance of our predictive analytic models" -- 21 Ethics and data analytics -- 22 IBM watson. |
| 541 ## - IMMEDIATE SOURCE OF ACQUISITION NOTE |
|---|
| -- |
Moma Ortega |
| -- |
Computer Studies, Information Technology, Information Systems and Animation |
| -- |
Computer Studies : Information Technology |
| 546 ## - LANGUAGE NOTE |
|---|
| Language note |
English |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Data mining |
| General subdivision |
Statistical methods. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Statistics. |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Miner, Gary, |
| Relator term |
author. |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Yale, Ken, |
| Relator term |
author. |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Elder, John F. |
| Fuller form of name |
(John Fletcher), |
| Relator term |
writer of supplementary textual content. |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Peterson, Andrew F., |
| Dates associated with a name |
1960- |
| Relator term |
writer of supplementary textual content. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Koha item type |
Book |
| 998 ## - LOCAL CONTROL INFORMATION (RLIN) |
|---|
| Cataloger's initials, CIN (RLIN) |
Aillen[new] |
| First Date, FD (RLIN) |
01/27/2023 |
