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Predictive Analytics and Data Mining

Concepts and Practice with RapidMiner

Put Predictive Analytics into Action Learn the basics of Predictive Analysis and Data Mining through an easy to understand conceptual framework and immediately practice the concepts learned using the open source RapidMiner tool. Whether you are brand new to Data Mining or working on your tenth project, this book will show you how to analyze data, uncover hidden patterns and relationships to aid important decisions and predictions. Data Mining has become an essential tool for any enterprise that collects, stores and processes data as part of its operations. This book is ideal for business users, data analysts, business analysts, business intelligence and data warehousing professionals and for anyone who wants to learn Data Mining. You’ll be able to: 1. Gain the necessary knowledge of different data mining techniques, so that you can select the right technique for a given data problem and create a general purpose analytics process. 2. Get up and running fast with more than two dozen commonly used powerful algorithms for predictive analytics using practical use cases. 3. Implement a simple step-by-step process for predicting an outcome or discovering hidden relationships from the data using RapidMiner, an open source GUI based data mining tool Predictive analytics and Data Mining techniques covered: Exploratory Data Analysis, Visualization, Decision trees, Rule induction, k-Nearest Neighbors, Naïve Bayesian, Artificial Neural Networks, Support Vector machines, Ensemble models, Bagging, Boosting, Random Forests, Linear regression, Logistic regression, Association analysis using Apriori and FP Growth, K-Means clustering, Density based clustering, Self Organizing Maps, Text Mining, Time series forecasting, Anomaly detection and Feature selection. Implementation files can be downloaded from the book companion site at www.LearnPredictiveAnalytics.com Demystifies data mining concepts with easy to understand language Shows how to get up and running fast with 20 commonly used powerful techniques for predictive analysis Explains the process of using open source RapidMiner tools Discusses a simple 5 step process for implementing algorithms that can be used for performing predictive analytics Includes practical use cases and examples

The methodological discovery of useful relationships and patterns in data is
enabled by a set of iterative activities known as data mining process. The
standard data mining process involves (1) understanding the problem, (2)
preparing the ...

Data Mining

Concepts, Methods and Applications in Management and Engineering Design

Data Mining introduces in clear and simple ways how to use existing data mining methods to obtain effective solutions for a variety of management and engineering design problems. Data Mining is organised into two parts: the first provides a focused introduction to data mining and the second goes into greater depth on subjects such as customer analysis. It covers almost all managerial activities of a company, including: • supply chain design, • product development, • manufacturing system design, • product quality control, and • preservation of privacy. Incorporating recent developments of data mining that have made it possible to deal with management and engineering design problems with greater efficiency and efficacy, Data Mining presents a number of state-of-the-art topics. It will be an informative source of information for researchers, but will also be a useful reference work for industrial and managerial practitioners.

Privacy-preserving data mining (PPDM) is one of the newest trends in privacy
and security research. It is driven by one of the major policy issues of the
information era: the right to privacy. Data mining is the process of automatically
discovering ...

Strategic Advancements in Utilizing Data Mining and Warehousing Technologies: New Concepts and Developments

New Concepts and Developments

"This book presents and disseminates new concepts and developments in the areas of data warehousing and data mining, in particular on the research trends shaped during the last few years"--Provided by publisher.

"This book presents and disseminates new concepts and developments in the areas of data warehousing and data mining, in particular on the research trends shaped during the last few years"--Provided by publisher.

Data Mining

Concepts, Models and Techniques

The knowledge discovery process is as old as Homo sapiens. Until some time ago this process was solely based on the ‘natural personal' computer provided by Mother Nature. Fortunately, in recent decades the problem has begun to be solved based on the development of the Data mining technology, aided by the huge computational power of the 'artificial' computers. Digging intelligently in different large databases, data mining aims to extract implicit, previously unknown and potentially useful information from data, since “knowledge is power”. The goal of this book is to provide, in a friendly way, both theoretical concepts and, especially, practical techniques of this exciting field, ready to be applied in real-world situations. Accordingly, it is meant for all those who wish to learn how to explore and analysis of large quantities of data in order to discover the hidden nugget of information.

The goal of this book is to provide, in a friendly way, both theoretical concepts and, especially, practical techniques of this exciting field, ready to be applied in real-world situations.

The Science Teacher's Activity-A-Day, Grades 5-10

Over 180 Reproducible Pages of Quick, Fun Projects that Illustrate Basic Concepts

Modeling with UML

Language, Concepts, Methods

This book presents a variant of UML that is especially suitable for agile development of high-quality software. It adjusts the language UML profile, called UML/P, for optimal assistance for the design, implementation, and agile evolution to facilitate its use especially in agile, yet model based development methods for data intensive or control driven systems. After a general introduction to UML and the choices made in the development of UML/P in Chapter 1, Chapter 2 includes a definition of the language elements of class diagrams and their forms of use as views and representations. Next, Chapter 3 introduces the design and semantic facets of the Object Constraint Language (OCL), which is conceptually improved and syntactically adjusted to Java for better comfort. Subsequently, Chapter 4 introduces object diagrams as an independent, exemplary notation in UML/P, and Chapter 5 offers a detailed introduction to UML/P Statecharts. Lastly, Chapter 6 presents a simplified form of sequence diagrams for exemplary descriptions of object interactions. For completeness, appendixes A–C describe the full syntax of UML/P, and appendix D explains a sample application from the E-commerce domain, which is used in all chapters. This book is ideal for introductory courses for students and practitioners alike.

This book is ideal for introductory courses for students and practitioners alike. This book presents a variant of UML that is especially suitable for agile development of high-quality software.

Marketing Insights from A to Z

80 Concepts Every Manager Needs to Know

The most renowned figure in the world of marketing offers the new rules to the game for marketing professionals and business leaders alike In Marketing Insights from A to Z, Philip Kotler, one of the undisputed fathers of modern marketing, redefines marketing's fundamental concepts from A to Z, highlighting how business has changed and how marketing must change with it. He predicts that over the next decade marketing techniques will require a complete overhaul. Furthermore, the future of marketing is in company-wide marketing initiatives, not in a reliance on a single marketing department. This concise, stimulating book relays fundamental ideas fast for busy executives and marketing professionals. Marketing Insights from A to Z presents the enlightened and well-informed musings of a true master of the art of marketing based on his distinguished forty-year career in the business. Other topics include branding, experiential advertising, customer relationship management, leadership, marketing ethics, positioning, recession marketing, technology, overall strategy, and much more. Philip Kotler (Chicago, IL) is the father of modern marketing and the S. C. Johnson and Son Distinguished Professor of International Marketing at Northwestern University's Kellogg Graduate School of Management, one of the definitive marketing programs in the world. Kotler is the author of twenty books and a consultant to nonprofit organizations and leading corporations such as IBM, General Electric, Bank of America, and AT&T.

80 Concepts Every Manager Needs to Know Philip Kotler. Marketing Insights
from A to Z 80 Concepts Every Manager Needs To Know Philip Kotler John Wiley
& Sons, Inc. Copyright © 2003 by Philip Kotler. All rights reserved. Published.

Waste Input-Output Analysis

Concepts and Application to Industrial Ecology

Industrial ecology (IE) is a rapidly growing scienti?c discipline that is concerned with the sustainability of industrial systems under explicit consideration of its int- dependence with natural systems. In recent years, there has been an ever-increasing awareness about the applicability of Input-Output Analysis (IOA) to IE, in particular to LCA (life cycle assessment) and MFA (material ?ow analysis). This is witnessed in the growing number of papers at ISIE (International Society for Industrial Ec- ogy) conferences, which use IOA, and also by the installment of subject editors on IOA in the International Journal of Life Cycle Assessment. It can be said that IE has become a major ?eld of application for IOA. The broadening of users of IOA from various backgrounds implies a need for a self-contained textbook on IOA that can meet the needs of students and practitioners without compromising on basic c- cepts and the latest developments. This book was written with the aim of ?lling this need, and is primarily addressed to students and practitioners of IE. As the title suggests, the core contents of the book have grown out of our research in IOA of waste management issues over the last decade. We have been fascinated by the versatile nature of IOA with regard to various technical issues of waste m- agement in particular, and to IE in general. For us (both economists by training), IOA has turned out to be extremely useful in establishing productive communi- tion with scientists and engineers interested in IE.

The major aim of this book is to make WIO accessible to the students and practitioners of IE. "Waste Input-Output Analysis" is unique in its coverage of both the basics of IOA and its application to IE with special emphasis on issues of ...

Moving to VB .NET

Strategies, Concepts, and Code

In this new edition of his popular title, Moving to VB .NET: Strategies, Concepts, and Code, Second Edition, Visual Basic guru Dan Appleman not only updates the book to include coverage of changes to Visual Basic .NET in Visual Studio .NET 2003, but he extends the areas most important to VB .NET programmers since its release. Topics such as .NET remoting, versioning, and object-oriented programming are further illuminated using Appleman's own personable and highly effective style. Appleman explains the whys and hows of the VB .NET technology features, and delves into the controversies around many of the choices. Evaluating VB .NET from the perspective of the developer, you'll learn to write high quality VB .NET code in well-designed applications. The author brings the same attention to technical detail and real-world attitude to this second edition as he has brought to all of his past books.

In this new edition of his popular title, Moving to VB .NET: Strategies, Concepts, and Code, Second Edition, Visual Basic guru Dan Appleman not only updates the book to include coverage of changes to Visual Basic .NET in Visual Studio .NET ...