A Practical Guide to Data Mining for Business and Industry

Author: Andrea Ahlemeyer-Stubbe

Publisher: John Wiley & Sons

ISBN:

Category: Mathematics

Page: 328

View: 897

Data mining is well on its way to becoming a recognized discipline in the overlapping areas of IT, statistics, machine learning, and AI. Practical Data Mining for Business presents a user-friendly approach to data mining methods, covering the typical uses to which it is applied. The methodology is complemented by case studies to create a versatile reference book, allowing readers to look for specific methods as well as for specific applications. The book is formatted to allow statisticians, computer scientists, and economists to cross-reference from a particular application or method to sectors of interest.

Java Data Mining: Strategy, Standard, and Practice

A Practical Guide for Architecture, Design, and Implementation

Author: Mark F. Hornick

Publisher: Elsevier

ISBN:

Category: Computers

Page: 544

View: 701

Whether you are a software developer, systems architect, data analyst, or business analyst, if you want to take advantage of data mining in the development of advanced analytic applications, Java Data Mining, JDM, the new standard now implemented in core DBMS and data mining/analysis software, is a key solution component. This book is the essential guide to the usage of the JDM standard interface, written by contributors to the JDM standard. Data mining introduction - an overview of data mining and the problems it can address across industries; JDM's place in strategic solutions to data mining-related problems JDM essentials - concepts, design approach and design issues, with detailed code examples in Java; a Web Services interface to enable JDM functionality in an SOA environment; and illustration of JDM XML Schema for JDM objects JDM in practice - the use of JDM from vendor implementations and approaches to customer applications, integration, and usage; impact of data mining on IT infrastructure; a how-to guide for building applications that use the JDM API Free, downloadable KJDM source code referenced in the book available here

Making Sense of Data

A Practical Guide to Exploratory Data Analysis and Data Mining

Author: Glenn J. Myatt

Publisher: John Wiley & Sons

ISBN:

Category: Mathematics

Page: 288

View: 893

A Practical Guide to Planning for E-Business Success

How to E-enable Your Enterprise

Author: Anita Cassidy

Publisher: CRC Press

ISBN:

Category: Business & Economics

Page: 256

View: 682

News of the Web's demise has been greatly exaggerated. The Internet continues to impact our lives and how we do business. It has the power to transform entire industries and create new ones, challenge industry leaders, and enable businesses in entirely new ways. The question is no longer will you participate in the Internet revolution, but when and how. Rather than talking Internet hype, A Practical Guide to Planning for E-Business Success shows you how to do it - and do it right - from beginning to end. The only thing worse than no e-business presence is a bad e-business presence. Well-known authority Anita Cassidy explores using Internet technology to redefine and enable your business in entirely new ways. She provides a step-by-step process for developing and implementing a solid e-business strategy. She gives you examples, checklists, FAQs, and templates that help you begin and steer you in the right direction. Research shows that despite the dot.com bust e-commerce is booming. Most companies have an Internet presence whether it merely provides marketing information about the company or is a full service Web site. After the initial rush to get an Internet presence, you must consider how you can shift to true e-business. A Practical Guide to Planning for E-Business Success shows you how to use this powerful technology to provide your organization with a competitive advantage.

Predictive Data Mining

A Practical Guide

Author: Sholom M. Weiss

Publisher: Morgan Kaufmann

ISBN:

Category: Computers

Page: 228

View: 790

This book presents a unified view of data mining, drawing from statistics, machine learning, and databases and focuses on the preparation of data and the development of an overall problem-solving strategy. It will interest researchers, programmers, and developers in knowledge discovery and data mining in the disciplines of AI, software engineering, and databases.

Resampling Methods

A Practical Guide to Data Analysis

Author: Phillip I. Good

Publisher: Springer Science & Business Media

ISBN:

Category: Mathematics

Page: 238

View: 882

"...the author has packaged an excellent and modern set of topics around the development and use of quantitative models...the author has the capability to work at a more modest level. He does that very effectively in this 2nd Edition... If you need to learn about resampling, this book would be a good place to start." -- Technometrics This work is a practical, table-free introduction to data analysis using the bootstrap, cross-validation, and permutation tests; new to the second edition are several additional examples and a chapter dedicated to regression, data mining techniques, and their limitations. The book’s many exercises, practical data sets, and use of free shareware make it an essential resource for students and teachers, as well as industrial statisticians, consultants, and research professionals.

Business Intelligence in Plain Language

A Practical Guide to Data Mining and Business Analytics

Author: Jeremy M. Kolb

Publisher: CreateSpace

ISBN:

Category: Business intelligence

Page: 66

View: 825

One day a man walked into Asgard Inc. and changed the company forever. Unlike anyone who came before, he remembered and understood data as naturally as a fish swims in water. The CEO was shocked at how well the man knew the company. He started posing questions to this man. Who are my best customers? Why is this product struggling? Where is my greatest growth happening? The man answered these and more. Using his understanding of data, he identified key new markets, he discovered the best places to invest capital, and he even predicted the future. Overnight Asgard Inc. changed. Where before the CEO relied on limited information and gut feelings, now true knowledge guided his actions. The CEO took the man's hand in gratitude and asked, "Who are you?" and he replied, "I am Business Intelligence." Business Intelligence(BI) is shrouded in mystery for a lot of us but it doesn't need to stay that way. Business Intelligence in Plain Language is a systematic exploration of this complicated tool. I'll teach you about what it does, how it works, and most importantly how you can benefit from it. In this book you will learn about: Business Intelligence Data Mining Data Warehousing Data Discovery Big Data Outlier Detection Pattern Recognition Predictive Modeling Data Transformation and much more This book is your practical guide to understanding and implementing Business Intelligence.

Data Analytics

Practical Guide to Leveraging the Power of Algorithms, Data Science, Data Mining, Statistics, Big Data, and Predictive Analysis to Improve Business, Work, and Life

Author: Arthur Zhang

Publisher:

ISBN:

Category:

Page: 280

View: 220

The Ultimate Guide to Data Science and Analytics This practical guide is accessible for the reader who is relatively new to the field of data analytics, while still remaining robust and detailed enough to function as a helpful guide to those already experienced in the field. Data science is expanding in breadth and growing rapidly in importance as technology rapidly integrates ever deeper into business and our daily lives. The need for a succinct and informal guide to this important field has never been greater. RIGHT NOW you can get ahead of the pack! This coherent guide covers everything you need to know on the subject of data science, with numerous concrete examples, and invites the reader to dive further into this exciting field. Students from a variety of academic backgrounds, including computer science, business, engineering, statistics, anyone interested in discovering new ideas and insights derived from data can use this as a textbook. At the same time, professionals such as managers, executives, professors, analysts, doctors, developers, computer scientists, accountants, and others can use this book to make a quantum leap in their knowledge of big data in a matter of only a few hours. Learn how to understand this field and uncover actionable insights from data through analytics. UNDERSTAND the following key insights when you grab your copy today: WHY DATA IS IMPORTANT TO YOUR BUSINESS DATA SOURCES HOW DATA CAN IMPROVE YOUR BUSINESS HOW BIG DATA CREATES VALUE DEVELOPMENT OF BIG DATA CONSIDERING THE PROS AND CONS OF BIG DATA BIG DATA FOR SMALL BUSINESSES THE COST EFFECTIVENESS OF DATA ANALYTICS WHAT TO CONSIDER WHEN PREPARING FOR A NEW BIG DATA SOLUTION DATA GATHERING DATA SCRUBBING DESCRIPTIVE ANALYTICS INFERENTIAL STATISTICS PREDICTIVE ANALYTICS PREDICTIVE MODELS DESCRIPTIVE MODELING DECISION MODELING PREDICTIVE ANALYSIS METHODS MACHINE LEARNING TECHNIQUES DATA ANALYSIS WITH "R" ANALYTICAL CUSTOMER RELATIONSHIP MANAGEMENT (CRM) THE USE OF PREDICTIVE ANALYTICS IN HEALTHCARE THE USE OF PREDICTIVE ANALYTICS IN THE FINANCIAL SECTOR PREDICTIVE ANALYTICS & BUSINESS MARKETING STRATEGIES FRAUD DETECTION SHIPPING BUSINESS CONTROLLING RISK FACTORS THE REVOLUTION OF PREDICTIVE ANALYSIS ACROSS A VARIETY OF INDUSTRIES DESCRIPTIVE AND PREDICTIVE ANALYSIS CRUCIAL FACTORS FOR DATA ANALYSIS RESOURCES AND FLEXIBLE TECHNICAL STRUCTURE BUSINESS INTELLIGENCE HYPER TARGETING WHAT IS DATA SCIENCE? DATA MUNGING DEMYSTIFYING DATA SCIENCE SECURITY RISKS TODAY BIG DATA AND IMPACTS ON EVERYDAY LIFE FINANCE AND BIG DATA APPLYING SENTIMENT ANALYSIS RISK EVALUATION AND THE DATA SCIENTIST THE FINANCE INDUSTRY AND REAL-TIME ANALYTICS HOW BIG DATA IS BENEFICIAL TO THE CUSTOMER CUSTOMER SEGMENTATION IS GOOD FOR BUSINESS USE OF BIG DATA BENEFITS IN MARKETING GOOGLE TRENDS THE PROFILE OF A PERFECT CUSTOMER LEAD SCORING IN PREDICTIVE ANALYSIS EVALUATING THE WORTH OF LIFETIME VALUE BIG DATA ADVANTAGES AND DISADVANTAGES MAKING COMPARISONS WITH COMPETITORS DATA SCIENCE IN THE TRAVEL SECTOR SAFETY ENHANCEMENTS THANKS TO BIG DATA BIG DATA AND AGRICULTURE BIG DATA AND LAW ENFORCEMENT THE USE OF BIG DATA IN THE PUBLIC SECTOR BIG DATA AND GAMING PRESCRIPTIVE ANALYTICS GOOGLE'S "SELF-DRIVING CAR" AND MUCH MORE! WANT MORE? Scroll up and grab this helpful guide toady!

Statistics

Methods and Applications : a Comprehensive Reference for Science, Industry, and Data Mining

Author: Thomas Hill

Publisher: StatSoft, Inc.

ISBN:

Category: Commercial statistics

Page: 832

View: 832

This - one of a kind - book offers a comprehensive, almost encyclopedic presentation of statistical methods and analytic approaches used in science, industry, business, and data mining, written from the perspective of the real-life practitioner ("consumer") of these methods.

Applied Data Mining for Business and Industry

Author: Paolo Giudici

Publisher: John Wiley & Sons

ISBN:

Category: Computers

Page: 249

View: 177

This new edition sees the inclusion of 70% new material, including eight new case studies, that brings this best selling title up to date with the many advances made in the field since its original publication. In the text all the methods described are either computational or of a statistical modelling nature; complex probabilistic models and mathematical tools are not used, so the book is accessible to a wide audience of both students and industry professionals.