Analytics in a Big Data World : (Record no. 120591)
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| 000 -LEADER | |
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| fixed length control field | 07170nam a22005053i 4500 |
| 001 - CONTROL NUMBER | |
| control field | EBC1676384 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | MiAaPQ |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20181121172835.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION | |
| fixed length control field | m o d | |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr cnu|||||||| |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 181113s2014 xx o ||||0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781118892718 |
| -- | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Cancelled/invalid ISBN | 9781118892701 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (MiAaPQ)EBC1676384 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (Au-PeEL)EBL1676384 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (CaPaEBR)ebr10862620 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (CaONFJC)MIL599754 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC)869881457 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | MiAaPQ |
| Language of cataloging | eng |
| Description conventions | rda |
| -- | pn |
| Transcribing agency | MiAaPQ |
| Modifying agency | MiAaPQ |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | HD30.215.B34 2014eb |
| 082 0# - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 658.4/038 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Baesens, Bart. |
| 245 10 - TITLE STATEMENT | |
| Title | Analytics in a Big Data World : |
| Remainder of title | The Essential Guide to Data Science and Its Applications. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. |
| 264 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc | New York : |
| Name of publisher, distributor, etc | John Wiley & Sons, Incorporated, |
| Date of publication, distribution, etc | 2014. |
| 264 #4 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Date of publication, distribution, etc | ©2014. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource (252 pages) |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Content type code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | computer |
| Media type code | c |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Carrier type code | cr |
| Source | rdacarrier |
| 490 1# - SERIES STATEMENT | |
| Series statement | Wiley and SAS Business Ser. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Intro -- Analytics in a Big Data World -- Wiley & SAS Business Series -- Contents -- Preface -- Acknowledgments -- CHAPTER 1 Big Data and Analytics -- EXAMPLE APPLICATIONS -- BASIC NOMENCLATURE -- ANALYTICS PROCESS MODEL -- JOB PROFILES INVOLVED -- ANALYTICS -- ANALYTICAL MODEL REQUIREMENTS -- NOTES -- CHAPTER 2 Data Collection, Sampling, and Preprocessing -- TYPES OF DATA SOURCES -- SAMPLING -- TYPES OF DATA ELEMENTS -- VISUAL DATA EXPLORATION AND EXPLORATORY STATISTICAL ANALYSIS -- MISSING VALUES -- OUTLIER DETECTION AND TREATMENT -- STANDARDIZING DATA -- CATEGORIZATION -- WEIGHTS OF EVIDENCE CODING -- VARIABLE SELECTION -- SEGMENTATION -- NOTES -- CHAPTER 3 Predictive Analytics -- TARGET DEFINITION -- LINEAR REGRESSION -- LOGISTIC REGRESSION -- DECISION TREES -- NEURAL NETWORKS -- SUPPORT VECTOR MACHINES -- ENSEMBLE METHODS -- Bagging -- Boosting -- Random Forests -- MULTICLASS CLASSIFICATION TECHNIQUES -- Multiclass Logistic Regression -- Multiclass Decision Trees -- Multiclass Neural Networks -- Multiclass Support Vector Machines -- EVALUATING PREDICTIVE MODELS -- Splitting Up the Data Set -- Performance Measures for Classifi cation Models -- Performance Measures for Regression Models -- NOTES -- CHAPTER 4 Descriptive Analytics -- ASSOCIATION RULES -- Basic Setting -- Support and Confidence -- Association Rule Mining -- The Lift Measure -- Post Processing Association Rules -- Association Rule Extensions -- Applications of Association Rules -- SEQUENCE RULES -- SEGMENTATION -- Hierarchical Clustering -- K‐Means Clustering -- Self‐Organizing Maps -- Using and Interpreting Clustering Solutions -- NOTES -- CHAPTER 5 Survival Analysis -- SURVIVAL ANALYSIS MEASUREMENTS -- KAPLAN MEIER ANALYSIS -- PARAMETRIC SURVIVAL ANALYSIS -- PROPORTIONAL HAZARDS REGRESSION -- EXTENSIONS OF SURVIVAL ANALYSIS MODELS -- EVALUATING SURVIVAL ANALYSIS MODELS -- NOTES. |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | CHAPTER 6 Social Network Analytics -- SOCIAL NETWORK DEFINITIONS -- SOCIAL NETWORK METRICS -- SOCIAL NETWORK LEARNING -- RELATIONAL NEIGHBOR CLASSIFIER -- PROBABILISTIC RELATIONAL NEIGHBOR CLASSIFIER -- RELATIONAL LOGISTIC REGRESSION -- COLLECTIVE INFERENCING -- EGONETS -- BIGRAPHS -- NOTES -- CHAPTER 7 Analytics: Putting It All to Work -- BACKTESTING ANALYTICAL MODELS -- Backtesting Classifi cation Models -- Backtesting Regression Models -- Backtesting Clustering Models -- Developing a Backtesting Framework -- BENCHMARKING -- DATA QUALITY -- SOFTWARE -- PRIVACY -- MODEL DESIGN AND DOCUMENTATION -- CORPORATE GOVERNANCE -- NOTES -- CHAPTER 8 Example Applications -- CREDIT RISK MODELING -- FRAUD DETECTION -- NET LIFT RESPONSE MODELING -- CHURN PREDICTION -- Churn Prediction Models -- Churn Prediction Process -- RECOMMENDER SYSTEMS -- Collaborative Filtering -- Content‐Based Filtering -- Demographic Filtering -- Knowledge-Based Filtering -- Hybrid Filtering -- Evaluation of Recommender Systems -- Examples -- WEB ANALYTICS -- Web Data Collection -- Web KPIs -- Turning Web KPIs into Actionable Insights -- Navigation Analysis -- Search Engine Marketing Analytics -- A/B and Multivariate Testing -- SOCIAL MEDIA ANALYTICS -- Social Networking Sites: B2B Advertisement Tools -- Sentiment Analysis -- Network Analytics -- BUSINESS PROCESS ANALYTICS -- Process Intelligence -- Process Mining and Analytics -- Coming Full Circle: Integrating with Data Analytics -- NOTES -- About the Author -- INDEX. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | The guide to targeting and leveraging business opportunities using big data & analytics By leveraging big data & analytics, businesses create the potential to better understand, manage, and strategically exploiting the complex dynamics of customer behavior. Analytics in a Big Data World reveals how to tap into the powerful tool of data analytics to create a strategic advantage and identify new business opportunities. Designed to be an accessible resource, this essential book does not include exhaustive coverage of all analytical techniques, instead focusing on analytics techniques that really provide added value in business environments. The book draws on author Bart Baesens' expertise on the topics of big data, analytics and its applications in e.g. credit risk, marketing, and fraud to provide a clear roadmap for organizations that want to use data analytics to their advantage, but need a good starting point. Baesens has conducted extensive research on big data, analytics, customer relationship management, web analytics, fraud detection, and credit risk management, and uses this experience to bring clarity to a complex topic. Includes numerous case studies on risk management, fraud detection, customer relationship management, and web analytics Offers the results of research and the author's personal experience in banking, retail, and government Contains an overview of the visionary ideas and current developments on the strategic use of analytics for business Covers the topic of data analytics in easy-to-understand terms without an undo emphasis on mathematics and the minutiae of statistical analysis For organizations looking to enhance their capabilities via data analytics, this resource is the go-to reference for leveraging data to enhance business capabilities. |
| 588 ## - SOURCE OF DESCRIPTION NOTE | |
| Source of description note | Description based on publisher supplied metadata and other sources. |
| 590 ## - LOCAL NOTE (RLIN) | |
| Local note | Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2018. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Big data. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Decision making -- Data processing. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Management -- Data processing. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Management -- Statistical methods. |
| 655 #4 - INDEX TERM--GENRE/FORM | |
| Genre/form data or focus term | Electronic books. |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Display text | Print version: |
| Main entry heading | Baesens, Bart |
| Title | Analytics in a Big Data World : The Essential Guide to Data Science and Its Applications |
| Place, publisher, and date of publication | New York : John Wiley & Sons, Incorporated,c2014 |
| International Standard Book Number | 9781118892701 |
| 797 2# - LOCAL ADDED ENTRY--CORPORATE NAME (RLIN) | |
| Corporate name or jurisdiction name as entry element | ProQuest (Firm) |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | Wiley and SAS Business Ser. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://ebookcentral.proquest.com/lib/buse-ebooks/detail.action?docID=1676384">https://ebookcentral.proquest.com/lib/buse-ebooks/detail.action?docID=1676384</a> |
| Public note | Click to View |
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