Ask, measure, learn- Using Social Media Analytics to Understand and Influence Customer Behav ([2014].) / Finger ، Lutz.، نویسنده
نوع مدرک: متون چاپی سرشناسه Finger ، Lutz.، نویسنده شماره بازیابی : HF5415.32 .F554 2014 عنوان : Ask, measure, learn- Using Social Media Analytics to Understand and Influence Customer Behav تکرار نام مولف : Lutz Finger and Soumitra Dutta. ویرایش : First Edition ناشر: Sebastopol : O'Reilly سال نشر : [2014]. صفحه شمار: xxvi, 304 ویژگی : illustrations ابعاد : 23 cm. شابک/شاپا 978-1-449-33675-2 یادداشت Includes bibliographical references and index. شناسه افزوده : Dutta ، Soumitra. موضوعها : اصفا
Consumer behavior. ؛ Data mining. ؛ Social media.چکیده : You can measure practically anything in the age of social media, but if you don't know what you're looking for, collecting mountains of data won't yield a grain of insight. This non-technical guide shows you how to extract significant business value from big data with Ask-Measure-Learn, a system that helps you ask the right questions, measure the right data, and then learn from the results.--back cover. مندرجات Part I: Media measurement by function: Marketing -- Sales -- Public relations -- Customer care -- Social CRM: market research -- Gaming the system -- Predictions -- Part II: Build your own ask-measure-learn system: Ask the right question -- Use the right data -- Define the right measurement. لینک ثابت رکورد: ../opac/index.php?lvl=record_display&id=6260 زبان مدرک : English
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شماره ثبت شماره بازیابی نام عام مواد محل نگهداری بخش وضعیت ثبت وضعیت امانت 7658 HF5415.32 .F554 2014 کتاب الکترونیکی لاتین موسسه آموزش عالی بینالود مدیریت صنعتی اسناد معمولی موجود
نوع مدرک: متون چاپی سرشناسه Dean ، Jared (1978-)، نویسنده شماره بازیابی : HD30.2 .D39 2014 عنوان : Big data, data mining and machine learning تکرار نام مولف : Jared Dean. صفحه شمار: xix, 265 pages ویژگی : illustrations ابعاد : 24 cm. شابک/شاپا 9781118618042 (hardback) یادداشت Includes bibliographical references (pages 247-251) and index. موضوعها : اصفا
ManagementData processing. ؛ Data mining. ؛ Big data. ؛ Database management. ؛ Information technologyManagement. ؛ COMPUTERS / Database Management / Data Mining.چکیده : "An expert guide to high performance computing architectures and how they relate to analytics and data miningWith the exponential growth of data comes an ever-increasing need to process and analyze so-called Big Data. High Performance Data Mining and Big Data Analytics provides a comprehensive view of the recent trend toward high performance computing architectures and its natural connection to analytics and data mining. You'll find coverage of topics including: big data, high performance computing for analytics, massively parallel processing (MPP) databases, in-memory analytics, implementation of machine learning algorithms for big data platforms, text analytics, analytics environments, the analytics lifecycle, general applications, as well as a variety of cases. Offers coverage of business analytics, predictive modeling, and fact-based management Includes case studies featuring multinational companies Explores recent trends in high performance computing architectures relating to data mining Filled with case studies, High Performance Data Mining and Big Data Analytics provides a thorough grounding for optimally putting data mining and big data analytics to work for your organization"-- لینک ثابت رکورد: ../opac/index.php?lvl=record_display&id=6152 زبان مدرک : English
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شماره ثبت شماره بازیابی نام عام مواد محل نگهداری بخش وضعیت ثبت وضعیت امانت 7539 HD30.2 .D39 2014 کتاب الکترونیکی لاتین موسسه آموزش عالی بینالود مدیریت صنعتی اسناد معمولی موجود
نوع مدرک: متون چاپی سرشناسه Ahlemeyer-Stubbe ، Andrea.، نویسنده شماره بازیابی : HF5415.125 .A42 2014 عنوان : A practical guide to data mining for business and industry / تکرار نام مولف : ؛Andrea Ahlemeyer-Stubbe, Director Strategic Analytics, DRAFTFCB Mü̈nchen GmbH, Germany ; Shirley Coleman, Principal Statician, Industrial Statistics Research Unit School of Maths and Statistics, Newcastle University, UK. صفحه شمار: xx, 303 pages ابعاد : 24 cm شابک/شاپا 9781119977131 (cloth) یادداشت Includes bibliographical references (pages 285 - 295) and index. موضوعها : اصفا
Data mining. ؛ MarketingData processing. ؛ ManagementMathematical models.لینک ثابت رکورد: ../opac/index.php?lvl=record_display&id=5289 زبان مدرک : English
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شماره ثبت شماره بازیابی نام عام مواد محل نگهداری بخش وضعیت ثبت وضعیت امانت 6566 HF5415.125 .A42 2014 کتاب الکترونیکی لاتین موسسه آموزش عالی بینالود مدیریت بازرگانی اسناد معمولی موجود 7202 HF5415.125 .A42 2014 کتاب الکترونیکی لاتین موسسه آموزش عالی بینالود مدیریت صنعتی اسناد معمولی موجود 7351 HF5415.125 .A42 2014 کتاب الکترونیکی لاتین موسسه آموزش عالی بینالود مدیریت صنعتی اسناد معمولی موجود
نوع مدرک: متون چاپی سرشناسه Nettleton ، David (1963-)، نویسنده شماره بازیابی : HD30.25 .N48 2014 عنوان : Commercial data mining تکرار نام مولف : ؛David Nettleton. صفحه شمار: xi, 288 pages ابعاد : 23 cm شابک/شاپا 9780124166028 (paperback) یادداشت Includes bibliographical references and index. موضوعها : اصفا
Data mining. ؛ ManagementMathematical models. ؛ ManagementData processing.مندرجات Machine generated contents note: 1. Introduction 2. Business Objectives 3. Data Quality 4. Data Representation 5. Possible Sources of Data and Information 6. Selection of Variables and Factors 7. Data Sampling 8. Data Analysis 9. Modeling 10. The Data Mart - Structured Data Warehouse 11. Querying, Report Generation and Executive Information Systems 12. Analytical CRM - Customer Relationship Analysis 13. Website Analysis and Internet Search 14. Online Social Network Analysis 15. Web Search Trend Analysis 16. Creating your own Environment for Commercial Data Analysis 17. Summary Appendices, Case Studies لینک ثابت رکورد: ../opac/index.php?lvl=record_display&id=5637 زبان مدرک : English
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شماره ثبت شماره بازیابی نام عام مواد محل نگهداری بخش وضعیت ثبت وضعیت امانت 6945 HD30.25 .N48 2014 کتاب الکترونیکی لاتین موسسه آموزش عالی بینالود مدیریت بازرگانی اسناد معمولی موجود
نوع مدرک: متون چاپی سرشناسه Gee ، Sunder.، نویسنده شماره بازیابی : HV6691 .G44 2015 عنوان : Fraud and fraud detection تکرار نام مولف : ؛Sunder Gee. صفحه شمار: xv, 336 pages ویژگی : illustrations ابعاد : 27 cm. شابک/شاپا 9781118779651 (hardback) یادداشت "+ website"--front cover.
Includes bibliographic references and index.موضوعها : اصفا
Fraud. ؛ Managerial accounting. ؛ Data mining. ؛ BUSINESS & ECONOMICS / Accounting / General.چکیده : "Detect fraud faster--no matter how well hidden--with IDEA automationFraud and Fraud Detection takes an advanced approach to fraud management, providing step-by-step guidance on automating detection and forensics using CaseWare's IDEA software. The book begins by reviewing the major types of fraud, then details the specific computerized tests that can detect them. Readers will learn to use complex data analysis techniques, including automation scripts, allowing easier and more sensitive detection of anomalies that require further review. The companion website provides access to a demo version of IDEA, along with sample scripts that allow readers to immediately test the procedures from the book.Business systems' electronic databases have grown tremendously with the rise of big data, and will continue to increase at significant rates. Fraudulent transactions are easily hidden in these enormous datasets, but Fraud and Fraud Detection helps readers gain the data analytics skills that can bring these anomalies to light. Step-by-step instruction and practical advice provide the specific abilities that will enhance the audit and investigation process. Readers will learn to: Understand the different areas of fraud and their specific detection methods Identify anomalies and risk areas using computerized techniques Develop a step-by-step plan for detecting fraud through data analytics Utilize IDEA software to automate detection and identification procedures The delineation of detection techniques for each type of fraud makes this book a must-have for students and new fraud prevention professionals, and the step-by-step guidance to automation and complex analytics will prove useful for even experienced examiners. With datasets growing exponentially, increasing both the speed and sensitivity of detection helps fraud professionals stay ahead of the game. Fraud and Fraud Detection is a guide to more efficient, more effective fraud identification"-- مندرجات Machine generated contents note: Preface Acknowledgments Chapter 1: Introduction Defining Fraud Anomalies versus Fraud Types of Fraud Assess the Risk of Fraud Conclusion Notes Chapter 2: Fraud Detection Recognizing Fraud Data Mining versus Data Analysis and Analytics Data Analytic Software Anomalies versus Fraud within Data Fraudulent Data Inclusions and Deletions Conclusion Notes Chapter 3: The Data Analysis Cycle Evaluating and Analysis Obtaining Data Files File Format Types Preparation for Data Analysis Arranging and Organizing Data Conclusion Notes Chapter 4: Statistics and Sampling Descriptive Statistics Inferential Statistics Measures of Center Measure of Dispersion Measure of Variability Sampling Conclusion Notes Chapter 5: Data Analytical Tests Benford's Law Number Duplication Test (NDT) Z- Score Relative Size Factor Test (RSF) Same - Same - Same Test (SSS) Same - Same - Different Test (SSD) Even Amounts Conclusion Notes Chapter 6: Advanced Data Analytical Tests Correlation Trend Analysis GEL - 1 and GEL -2 Conclusion Note Chapter 7: Skimming and Cash Larceny Skimming Cash Larceny Case Study Conclusion Chapter 8: Billing Schemes Data and Data Familiarization Benford's Law Tests Relative Size Factor Test Z-Score Even Dollar Amounts Same-Same-Same Test Same-Same-Different Test Payments without Purchase Orders Test Length of Time between Invoice and Payment Dates Test Search for Post Office Box Match Employee Address to Supplier Duplicate addresses in Vendor Master Payments to vendors not in Master Gap Detection of Cheque number sequences Conclusion Note Chapter 9: Cheque Tampering Schemes Electronic Payments Fraud Prevention Cheque Tampering Data Analytic Tests Conclusion Chapter 10: Payroll Fraud Data and Data Familiarization Data Analysis The Payroll Register Payroll Master and Commission Tests Conclusion Notes Chapter 11: Expense Reimbursement Schemes Data and Data Analysis Conclusion and Audit Trail Notes Chapter 12: Register Disbursement Schemes False Refunds and Adjustments False Voids Concealment Data Analytic Tests Conclusion Chapter 13: Non-Cash Misappropriations Types of Non-Cash Misappropriations Concealment of Non-Cash Misappropriations Data Analytics Conclusion Chapter 14: Corruption Bribery Tender Schemes Kickbacks, Illegal Gratuities and Extortion Conflict of Interest Data Analytic Tests Concealment Conclusion Chapter 15: Money Laundering The Money Laundering Process Other Money Transfer Systems and New Opportunities Audit Areas and Data Files Conclusion Notes Chapter 16: Zapper Fraud Point of Sales System Case Study Quantifying the Zapped Records Additional POS Data Files to Analyse Missing and Modified Bills The Mark-up Ratios Conclusions and Solutions Notes Chapter 17: Automation and IDEAScript Considerations for Automation Creating IDEAScripts Conclusion Chapter 18: Conclusion Financial Statement Fraud IDEA Features Demonstrated Projects Overview Data Analytics: Final Words Notes About the Companion Website About the Author Index لینک ثابت رکورد: ../opac/index.php?lvl=record_display&id=5596 زبان مدرک : English
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شماره ثبت شماره بازیابی نام عام مواد محل نگهداری بخش وضعیت ثبت وضعیت امانت 6898 HV6691 .G44 2015 کتاب الکترونیکی لاتین موسسه آموزش عالی بینالود مدیریت بازرگانی اسناد معمولی موجود 7190 HV6691 .G44 2015 ن.2 کتاب الکترونیکی لاتین موسسه آموزش عالی بینالود مدیریت بازرگانی اسناد معمولی موجود