Commercial Data Mining

Whether you are brand new to data mining or working on your tenth predictive analytics project, Commercial Data Mining will be there for you as an accessible reference outlining the entire process and related themes. In this book, you'll learn that your organization does not need a huge volume of data or a Fortune 500 budget to generate business using existing information assets. Expert author David Nettleton guides you through the process from beginning to end and covers everything from business objectives to data sources, and selection to analysis and predictive modeling. Commercial Data Mining includes case studies and practical examples from Nettleton's more than 20 years of commercial experience. Real-world cases covering customer loyalty, cross-selling, and audience prediction in industries including insurance, banking, and media illustrate the concepts and techniques explained throughout the book. Illustrates cost-benefit evaluation of potential projects Includes vendor-agnostic advice on what to look for in off-the-shelf solutions as well as tips on building your own data mining tools Approachable reference can be read from cover to cover by readers of all experience levels Includes practical examples and case studies as well as actionable business insights from author's own experience

Produk Detail:

  • Author : David Nettleton
  • Publisher : Morgan Kaufmann
  • Pages : 288 pages
  • ISBN : 9780124166028
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKCommercial Data Mining

Commercial Data Mining

Commercial Data Mining
  • Author : David Nettleton
  • Publisher : Morgan Kaufmann
  • Release : 16 May 2022
GET THIS BOOKCommercial Data Mining

Whether you are brand new to data mining or working on your tenth predictive analytics project, Commercial Data Mining will be there for you as an accessible reference outlining the entire process and related themes. In this book, you'll learn that your organization does not need a huge volume of data or a Fortune 500 budget to generate business using existing information assets. Expert author David Nettleton guides you through the process from beginning to end and covers everything from business

Commercial Data Mining

Commercial Data Mining
  • Author : David Nettleton
  • Publisher : Elsevier
  • Release : 29 January 2014
GET THIS BOOKCommercial Data Mining

Whether you are brand new to data mining or working on your tenth predictive analytics project, Commercial Data Mining will be there for you as an accessible reference outlining the entire process and related themes. In this book, you'll learn that your organization does not need a huge volume of data or a Fortune 500 budget to generate business using existing information assets. Expert author David Nettleton guides you through the process from beginning to end and covers everything from business

Data Mining, Southeast Asia Edition

Data Mining, Southeast Asia Edition
  • Author : Jiawei Han,Jian Pei,Micheline Kamber
  • Publisher : Elsevier
  • Release : 06 April 2006
GET THIS BOOKData Mining, Southeast Asia Edition

Our ability to generate and collect data has been increasing rapidly. Not only are all of our business, scientific, and government transactions now computerized, but the widespread use of digital cameras, publication tools, and bar codes also generate data. On the collection side, scanned text and image platforms, satellite remote sensing systems, and the World Wide Web have flooded us with a tremendous amount of data. This explosive growth has generated an even more urgent need for new techniques and

Data Warehousing and Data Mining Techniques for Cyber Security

Data Warehousing and Data Mining Techniques for Cyber Security
  • Author : Anoop Singhal
  • Publisher : Springer Science & Business Media
  • Release : 06 April 2007
GET THIS BOOKData Warehousing and Data Mining Techniques for Cyber Security

The application of data warehousing and data mining techniques to computer security is an important emerging area, as information processing and internet accessibility costs decline and more and more organizations become vulnerable to cyber attacks. These security breaches include attacks on single computers, computer networks, wireless networks, databases, or authentication compromises. This book describes data warehousing and data mining techniques that can be used to detect attacks. It is designed to be a useful handbook for practitioners and researchers in

Introduction to Data Mining and Its Applications

Introduction to Data Mining and Its Applications
  • Author : S. Sumathi,S.N. Sivanandam
  • Publisher : Springer Science & Business Media
  • Release : 26 September 2006
GET THIS BOOKIntroduction to Data Mining and Its Applications

This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in data base systems and new data base applications and is also designed to give a broad, yet in-depth overview of the field of data mining. Data mining is a multidisciplinary field, drawing work from areas including database technology, AI, machine learning, NN, statistics, pattern recognition, knowledge based systems, knowledge acquisition, information retrieval, high performance computing and data visualization. This book is intended for

Data Mining and Statistics for Decision Making

Data Mining and Statistics for Decision Making
  • Author : Stéphane Tufféry
  • Publisher : John Wiley & Sons
  • Release : 23 March 2011
GET THIS BOOKData Mining and Statistics for Decision Making

Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge. Data mining is usually associated with a business or an organization's need to identify trends and profiles, allowing, for example, retailers to discover patterns on which to base marketing objectives. This book looks at both classical and recent techniques of data mining, such

Data Mining Techniques

Data Mining Techniques
  • Author : Michael J. A. Berry,Gordon S. Linoff
  • Publisher : John Wiley & Sons
  • Release : 09 April 2004
GET THIS BOOKData Mining Techniques

Many companies have invested in building large databases and data warehouses capable of storing vast amounts of information. This book offers business, sales and marketing managers a practical guide to accessing such information.

Data Mining and Knowledge Discovery Handbook

Data Mining and Knowledge Discovery Handbook
  • Author : Oded Maimon,Lior Rokach
  • Publisher : Springer Science & Business Media
  • Release : 10 September 2010
GET THIS BOOKData Mining and Knowledge Discovery Handbook

This book organizes key concepts, theories, standards, methodologies, trends, challenges and applications of data mining and knowledge discovery in databases. It first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. It also gives in-depth descriptions of data mining applications in various interdisciplinary industries.

MASTERING DATA MINING: THE ART AND SCIENCE OF CUSTOMER RELATIONSHIP MANAGEMENT

MASTERING DATA MINING: THE ART AND SCIENCE OF CUSTOMER RELATIONSHIP MANAGEMENT
  • Author : Michael J. A. Berry,Gordon S. Linoff
  • Publisher : Unknown Publisher
  • Release : 01 September 2008
GET THIS BOOKMASTERING DATA MINING: THE ART AND SCIENCE OF CUSTOMER RELATIONSHIP MANAGEMENT

Special Features: · Best-in-class data mining techniques for solving critical problems in all areas of business· Explains how to pick the right data mining techniques for specific problems· Shows how to perform analysis and evaluate results· Features real-world examples from across various industry sectors· Companion Web site with updates on data mining products and service providers About The Book: Companies have invested in building data warehouses to capture vast amounts of customer information. The payoff comes with mining or getting access

Managing the New Customer Relationship

Managing the New Customer Relationship
  • Author : Ian Gordon
  • Publisher : John Wiley & Sons
  • Release : 21 March 2013
GET THIS BOOKManaging the New Customer Relationship

Praise for MANAGING THE NEW CUSTOMER RELATIONSHIP “Gordon delivers an impressive synthesis of the newestmethods for engaging customers in relationships that last. Noorganization today can succeed without the mastery of customerrelationship management strategy fundamentals. But to win in thedecades ahead, you must also understand and capitalize on therapidly evolving social computing, mobility and customer analyticstechnologies described in this book. Checklists, self-assessmentsand graphical frameworks deliver pragmatic value for the practicingmanager.” — William Band, Vice-President, Principal Analyst,Forrester Research Inc., Cambridge, MA

Data Warehousing and Knowledge Discovery

Data Warehousing and Knowledge Discovery
  • Author : Yahiko Kambayashi,Mukesh Mohania,A Min Tjoa
  • Publisher : Springer
  • Release : 15 May 2003
GET THIS BOOKData Warehousing and Knowledge Discovery

The Second International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2000) was held in Greenwich, UK 4–6 September. DaWaK 2000 was a forum where researchers from data warehousing and knowledge discovery disciplines could exchange ideas on improving next generation decision support and data mining systems. The conference focused on the logical and physical design of data warehousing and knowledge discovery systems. The scope of the papers covered the most recent and relevant topics in the areas of data warehousing, multidimensional databases, OLAP,

2013 6th International Conference on BioMedical Engineering and Informatics (BMEI 2013)

2013 6th International Conference on BioMedical Engineering and Informatics (BMEI 2013)
  • Author : Anonim
  • Publisher : DEStech Publications, Inc
  • Release : 07 January 2014
GET THIS BOOK2013 6th International Conference on BioMedical Engineering and Informatics (BMEI 2013)

SPBEI 2013 aims to be an excellent platform to facilitate international exchange of state-ofthe- art research and practice in image, video, and signal processing, biomedical engineering, informatics, and their cross-intersection to catalyze innovative research ideas and to dissimilate new scientific discoveries. The nature of the research demands collaboration in medicine, biology, physics, engineering, computer science, and statistics; and SPBEI attempts to expedite and strengthen the exploration and systemization of interdisciplinary knowledge. This year, the conference received a large number of submissions

Big Data in Context

Big Data in Context
  • Author : Thomas Hoeren,Barbara Kolany-Raiser
  • Publisher : Springer
  • Release : 17 October 2017
GET THIS BOOKBig Data in Context

This book is open access under a CC BY 4.0 license. This book sheds new light on a selection of big data scenarios from an interdisciplinary perspective. It features legal, sociological and economic approaches to fundamental big data topics such as privacy, data quality and the ECJ’s Safe Harbor decision on the one hand, and practical applications such as smart cars, wearables and web tracking on the other. Addressing the interests of researchers and practitioners alike, it provides a comprehensive

Data Mining

Data Mining
  • Author : Bhavani Thuraisingham
  • Publisher : CRC Press
  • Release : 18 December 1998
GET THIS BOOKData Mining

Focusing on a data-centric perspective, this book provides a complete overview of data mining: its uses, methods, current technologies, commercial products, and future challenges. Three parts divide Data Mining: Part I describes technologies for data mining - database systems, warehousing, machine learning, visualization, decision support, statistics, parallel processing, and architectural support for data mining Part II presents tools and techniques - getting the data ready, carrying out the mining, pruning the results, evaluating outcomes, defining specific approaches, examining a specific

Logistics Management and Optimization through Hybrid Artificial Intelligence Systems

Logistics Management and Optimization through Hybrid Artificial Intelligence Systems
  • Author : Ortiz Zezzatti, Carlos Alberto Ochoa
  • Publisher : IGI Global
  • Release : 31 March 2012
GET THIS BOOKLogistics Management and Optimization through Hybrid Artificial Intelligence Systems

"This book offers the latest research within the field of HAIS, surveying the broad topics and collecting case studies, future directions, and cutting edge analyses, investigating biologically inspired algorithms such as ant colony optimization and particle swarm optimization"--