Modern Data Warehousing, Mining, and Visualization PDF Download

Author: George M. Marakas
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 300

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Book Description
For undergraduate/graduate-level Data Mining or Data Warehousing courses in Information Systems or Operations Management Departments electives. Taking a multidisciplinary user/manager approach, this text looks at data warehousing technologies necessary to support the business processes of the twenty-first century. Using a balanced professional and conversational approach, it explores the basic concepts of data mining, warehousing, and visualization with an emphasis on both technical and managerial issues and the implication of these modern emerging technologies on those issues. Data mining and visualization exercises using an included fully-enabled, but time-limited version of Megaputer's PolyAnalyst and TextAnalyst data mining and visualization software give students hands-on experience with real-world applications.

Author: Ken Yale
Publisher: Elsevier
ISBN: 0124166458
Category : Mathematics
Languages : en
Pages : 824

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Book Description
Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application. This book is an ideal reference for users who want to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques and discusses their application to real problems in ways accessible and beneficial to practitioners across several areas—from science and engineering, to medicine, academia and commerce. - Includes input by practitioners for practitioners - Includes tutorials in numerous fields of study that provide step-by-step instruction on how to use supplied tools to build models - Contains practical advice from successful real-world implementations - Brings together, in a single resource, all the information a beginner needs to understand the tools and issues in data mining to build successful data mining solutions - Features clear, intuitive explanations of novel analytical tools and techniques, and their practical applications

Author: Charu C. Aggarwal
Publisher: Springer
ISBN: 3319141422
Category : Computers
Languages : en
Pages : 746

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Book Description
This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications, capturing the wide diversity of problem domains for data mining issues. It goes beyond the traditional focus on data mining problems to introduce advanced data types such as text, time series, discrete sequences, spatial data, graph data, and social networks. Until now, no single book has addressed all these topics in a comprehensive and integrated way. The chapters of this book fall into one of three categories: Fundamental chapters: Data mining has four main problems, which correspond to clustering, classification, association pattern mining, and outlier analysis. These chapters comprehensively discuss a wide variety of methods for these problems. Domain chapters: These chapters discuss the specific methods used for different domains of data such as text data, time-series data, sequence data, graph data, and spatial data. Application chapters: These chapters study important applications such as stream mining, Web mining, ranking, recommendations, social networks, and privacy preservation. The domain chapters also have an applied flavor. Appropriate for both introductory and advanced data mining courses, Data Mining: The Textbook balances mathematical details and intuition. It contains the necessary mathematical details for professors and researchers, but it is presented in a simple and intuitive style to improve accessibility for students and industrial practitioners (including those with a limited mathematical background). Numerous illustrations, examples, and exercises are included, with an emphasis on semantically interpretable examples. Praise for Data Mining: The Textbook - “As I read through this book, I have already decided to use it in my classes. This is a book written by an outstanding researcher who has made fundamental contributions to data mining, in a way that is both accessible and up to date. The book is complete with theory and practical use cases. It’s a must-have for students and professors alike!" -- Qiang Yang, Chair of Computer Science and Engineering at Hong Kong University of Science and Technology "This is the most amazing and comprehensive text book on data mining. It covers not only the fundamental problems, such as clustering, classification, outliers and frequent patterns, and different data types, including text, time series, sequences, spatial data and graphs, but also various applications, such as recommenders, Web, social network and privacy. It is a great book for graduate students and researchers as well as practitioners." -- Philip S. Yu, UIC Distinguished Professor and Wexler Chair in Information Technology at University of Illinois at Chicago

Author: Dorian Pyle
Publisher: Morgan Kaufmann
ISBN: 9781558605299
Category : Computers
Languages : en
Pages : 566

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Book Description
This book focuses on the importance of clean, well-structured data as the first step to successful data mining. It shows how data should be prepared prior to mining in order to maximize mining performance.

Author: Tapio Elomaa
Publisher: Springer
ISBN: 3540456813
Category : Computers
Languages : en
Pages : 534

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Book Description
This book constitutes the refereed proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery, PKDD 2002, held in Helsinki, Finland in August 2002. The 39 revised full papers presented together with 4 invited contributions were carefully reviewed and selected from numerous submissions. Among the topics covered are kernel methods, probabilistic methods, association rule mining, rough sets, sampling algorithms, pattern discovery, web text mining, meta data clustering, rule induction, information extraction, dependency detection, rare class prediction, classifier systems, text classification, temporal sequence analysis, unsupervised learning, time series analysis, medical data mining, etc.

Author: Olivia Parr Rud
Publisher: John Wiley & Sons
ISBN: 0471437514
Category : Computers
Languages : en
Pages : 399

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Book Description
Increase profits and reduce costs by utilizing this collection of models of the most commonly asked data mining questions In order to find new ways to improve customer sales and support, and as well as manage risk, business managers must be able to mine company databases. This book provides a step-by-step guide to creating and implementing models of the most commonly asked data mining questions. Readers will learn how to prepare data to mine, and develop accurate data mining questions. The author, who has over ten years of data mining experience, also provides actual tested models of specific data mining questions for marketing, sales, customer service and retention, and risk management. A CD-ROM, sold separately, provides these models for reader use.

Author: Jure Leskovec
Publisher: Cambridge University Press
ISBN: 1107077230
Category : Computers
Languages : en
Pages : 480

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Book Description
Now in its second edition, this book focuses on practical algorithms for mining data from even the largest datasets.

Author: Troy McMillan
Publisher: John Wiley & Sons
ISBN: 111986108X
Category : Computers
Languages : en
Pages : 920

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Book Description
A comprehensive and efficient way to prepare for the A+ exam and succeed as a computer technician The newly revised Fifth Edition of the CompTIA A+ Complete Review Guide: Core 1 Exam 220-1101 and Core 2 Exam 220-1102 delivers essential and accessible exam prep material for the sought-after A+ certification. It offers full coverage of all of the A+ exam objectives covered on the latest Core 1 and Core 2 exams, ensuring you'll have the knowledge and skills you need to succeed on the test and in the real world. This book covers mobile devices, networking, hardware, virtualization and cloud computing, hardware and network troubleshooting, operating systems, security, software troubleshooting, and operational procedures. Its comprehensive discussions of all exam competencies will prepare you for your first role as a computer technician and let you hit the ground running. The book also offers: Accessible and easy-to-follow organization perfect for quick review and reinforcement of key topics Practical examples and insights drawn from the real-world experience of actual computer technicians Access to the Sybex online test bank, with chapter review questions, full-length practice exams, hundreds of electronic flashcards, and a glossary of key terms Ideal for anyone preparing for the Core 1 and Core 2 A+ exams, CompTIA A+ Complete Review Guide: Core 1 Exam 220-1101 and Core 2 Exam 220-1102 is also perfect for all aspiring and early-career computer technicians who seek to improve their performance in the field.

Author: MUHAMMAD ZAIN
Publisher: Zain Academy
ISBN:
Category : Business & Economics
Languages : en
Pages : 176

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Book Description
CMA Exam Review Complete Set 2022 contains the CMA Part 1 study guide and test bank, CMA Part 2 study guide and test bank in discounted pricing. It will prepare you for CMA Exam conducted by Institute of Management Accountants (IMA), US. The CMA Exam Review Complete Set 2022 contains the 806 study points with questioning mind approach, 76 essay questions, and 3,500 multiple choice questions with explanations. CMA Study Guide are comprehensive for smart learning and cover the entire CMA Course. Study Points with questioning mind approach contains all the knowledge in a concise manner that will be tested in the CMA Exam. Furthermore, this skill will be required of every management accountant in their work activities. You will develop a 360-degree level of understanding. CMA Exam Questions cover all type of exam focused questions for adequate CMA Exam Preparation. The beauty of MCQs in test bank is that questions are presented on a separate page and explanation to the correct and incorrect choices on another page so that the mind is focused only on the question's requirements, which replicates the CMA Exam environment. Furthermore, an urge will be created in the heart to select the correct choice before jumping on the solution to the problem. You can use the CMA Review Course 2022 as long as you wish to. There are no time and device restrictions. Furthermore, it is optimized for all screen sizes. CMA Study Material sample are available for free. Zain Academy’s purpose is to create the best CMA Exam Prep material at affordable pricing. You will get the integrated printable PDF for Study Guide and Exam Questions on subscription. Furthermore, you will not be required to refer to any other CMA Study Material available on the planet. Get CMA certificate in six months. Learning Videos are being uploaded on Zain Academy’s YouTube channel frequently on Certified Management Accountant, which will increase your knowledge retention and recalling power by at least 25%. It will also save your hard-earned money from subscribing premium access to videos and attending classes. You can ask as many questions as you wish to either through WhatsApp (+92 311 222 4261) or email, and I will answer to the best of my ability. My support and guidance will be with you TILL YOU PASS THE EXAMS. Do read the comments and ratings of my successful candidates from Facebook CMA Exam Review Course 2022 is ideal for all persons working in financial management, management reporting, and cost accounting positions. It is also equally suitable for those candidates who wish to learn the concepts, principles, and practical aspects of financial and cost management. Aspiring entrepreneurs can also benefit from this CMA Course. Seek CMA certificate to change your world, wellbeing, and most important yourself.

Author: Robert Layton
Publisher: Packt Publishing Ltd
ISBN: 1784391204
Category : Computers
Languages : en
Pages : 344

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Book Description
The next step in the information age is to gain insights from the deluge of data coming our way. Data mining provides a way of finding this insight, and Python is one of the most popular languages for data mining, providing both power and flexibility in analysis. This book teaches you to design and develop data mining applications using a variety of datasets, starting with basic classification and affinity analysis. Next, we move on to more complex data types including text, images, and graphs. In every chapter, we create models that solve real-world problems. There is a rich and varied set of libraries available in Python for data mining. This book covers a large number, including the IPython Notebook, pandas, scikit-learn and NLTK. Each chapter of this book introduces you to new algorithms and techniques. By the end of the book, you will gain a large insight into using Python for data mining, with a good knowledge and understanding of the algorithms and implementations.