Full Description : " Introduction to Data Mining, when was the last time you read a book or an abstract magazine article? Are your daily reading habits directed against tweets, Facebook updates, or directions to your instant oatmeal pack? If you're one of the many people who do not have a habit of reading regularly, you might miss out: reading is a huge amount of profits, and we've listed just a few benefits of reading. Pearson Education India"
Full Description : "Introducing the fundamental concepts and algorithms of data mining Introduction to Data Mining, 2nd Edition , gives a comprehensive overview of the background and general themes of data mining and is designed to be useful to students, instructors, researchers, and professionals. Presented in a clear and accessible way, the book outlines fundamental concepts and algorithms for each topic, thus providing the reader with the necessary background for the application of data mining to real problems. The text helps readers understand the nuances of the subject, and includes important sections on classification, association analysis, and cluster analysis. This edition improves on the first iteration of the book, published over a decade ago, by addressing the significant changes in the industry as a result of advanced technology and data growth.
Introduction to Data Mining invites the reader to think positively, if you ever find yourself in a bad condition, remember that even if you can lose everything else, your work, your property, your money and even your health knowledge can never be removed from you. Addison-Wesley"
Full Description : "The field of data mining provides techniques for automated discovery of valuable information from the accumulated data of computerized operations of enterprises. This book offers a clear and comprehensive introduction to both data mining theory and practice. It is written primarily as a textbook for the students of computer science, management, computer applications, and information technology. The book ensures that the students learn the major data mining techniques even if they do not have a strong mathematical background. The techniques include data pre-processing, association rule mining, supervised classification, cluster analysis, web data mining, search engine query mining, data warehousing and OLAP. To enhance the understanding of the concepts introduced, and to show how the techniques described in the book are used in practice, each chapter is followed by one or two case studies that have been published in scholarly journals. Most case studies deal with real business problems (for example, marketing, e-commerce, CRM). Studying the case studies provides the reader with a greater insight into the data mining techniques. The book also provides many examples, review questions, multiple choice questions, chapter-end exercises and a good list of references and Web resources especially those which are easy to understand and useful for students. A number of class projects have also been included.
INTRODUCTION TO DATA MINING WITH CASE STUDIES gives motivation to analyze information and is also useful when criticizing plots; or it is a well-written section if the character is properly designed, if the narrative sounds innocent, etc. If you ever have the opportunity to discuss the book with others, you will be able to clearly tell their views, as you have taken the time to really take into account all relevant aspects. PHI Learning Pvt. Ltd."
Full Description : "Introduction to Algorithms for Data Mining and Machine Learning introduces the essential ideas behind all key algorithms and techniques for data mining and machine learning, along with optimization techniques. Its strong formal mathematical approach, well selected examples, and practical software recommendations help readers develop confidence in their data modeling skills so they can process and interpret data for classification, clustering, curve-fitting and predictions. Masterfully balancing theory and practice, it is especially useful for those who need relevant, well explained, but not rigorous (proofs based) background theory and clear guidelines for working with big data. Presents an informal, theorem-free approach with concise, compact coverage of all fundamental topics Includes worked examples that help users increase confidence in their understanding of key algorithms, thus encouraging self-study Provides algorithms and techniques that can be implemented in any programming language, with each chapter including notes about relevant software packages
Reading Introduction to Algorithms for Data Mining and Machine Learning can increase mental stimulation. Research shows that staying in a mental stimulus can slow (or even eliminate) Alzheimer's disease and dementia, as keeping your brain active and touching does not allow you to lose weight. Academic Press"
Full Description : "The field of data mining lies at the confluence of predictive analytics, statistical analysis, and business intelligence. Due to the ever-increasing complexity and size of data sets and the wide range of applications in computer science, business, and health care, the process of discovering knowledge in data is more relevant than ever before. This book provides the tools needed to thrive in today’s big data world. The author demonstrates how to leverage a company’s existing databases to increase profits and market share, and carefully explains the most current data science methods and techniques. The reader will “learn data mining by doing data mining”. By adding chapters on data modelling preparation, imputation of missing data, and multivariate statistical analysis, Discovering Knowledge in Data, Second Edition remains the eminent reference on data mining. The second edition of a highly praised, successful reference on data mining, with thorough coverage of big data applications, predictive analytics, and statistical analysis. Includes new chapters on Multivariate Statistics, Preparing to Model the Data, and Imputation of Missing Data, and an Appendix on Data Summarization and Visualization Offers extensive coverage of the R statistical programming language Contains 280 end-of-chapter exercises Includes a companion website for university instructors who adopt the book
Reading Discovering Knowledge in Data can create great peace and inner peace. Reading spiritual texts can lower blood pressure and create a great sense of calm, but this shows that reading books with this genre helps people suffering from certain mood disorders and mild mental illness. John Wiley & Sons"
Full Description : "Data mining provides a set of new techniques to integrate, synthesize, and analyze tdata, uncovering the hidden patterns that exist within. Traditionally, techniques such as kernel learning methods, pattern recognition, and data mining, have been the domain of researchers in areas such as artificial intelligence, but leveraging these tools, techniques, and concepts against your data asset to identify problems early, understand interactions that exist and highlight previously unrealized relationships through the combination of these different disciplines can provide significant value for the investigator and her organization.
Reading a Introduction to Data Mining for the Life Sciences book is very important to learn a new language, because foreign languages use foreign words to help them speak and write. This book presents a very educative and very helpful meaning in everyday life. Springer Science & Business Media"
Full Description : "Introduction to Business Data Mining was developed to introduce students, as opposed to professional practitioners or engineering students, to the fundamental concepts of data mining. Most importantly, this text shows readers how to gather and analyze large sets of data to gain useful business understanding. A four part organization introduces the material (Part I), describes and demonstrated basic data mining algorithms (Part II), focuses on the business applications of data mining (Part III), and presents an overview of the developing areas in this field, including web mining, text mining, and the ethical aspects of data mining. (Part IV).The author team has had extensive experience with the quantitative analysis of business as well as with data mining analysis. They have both taught this material and used their own graduate students to prepare the textâ€™s data mining reports. Using real-world vignettes and their extensive knowledge of this new subject, David Olson and Yong Shi have created a text that demonstrates data mining processes and techniques needed for business applications.
Introduction to Business Data Mining well-written books can turn you into something different from others, because the article will keep you from lazing around and maintaining your current quality, allowing you to feel relaxed and let your body and soul relax. Irwin Professional Publishing"
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Full Description : "
Reading a Introduction to Data Mining and Knowledge Discovery book is very important to learn a new language, because foreign languages use foreign words to help them speak and write. This book presents a very educative and very helpful meaning in everyday life. no defined"
Full Description : "
Discovering Knowledge in Data can expand the words and meanings of symbols that are often seen daily. This applies to the above topics: the more you read, the more words you get, and they will definitely return to your daily dictionary. John Wiley & Sons"
Full Description : "Computer science is the theory, experimentation, and engineering that form the basis for the design and use of computers. This book provides over 2,000 Exam Prep questions and answers to accompany the text Introduction to Algorithms for Data Mining ... Items include highly probable exam items: Frame, security, market share, competitor, business value, world wide web, library, best practice, committee, investment, review, property, Spyware, revenue, filtering, contract, Read-only memory, and more.
Exam Prep for: Introduction to Algorithms for Data Mining ..., good words and speeches are a great help in any profession, and knowing that you can talk to a higher group with confidence can be a great affirmation of your self-esteem. It might even help your career, because those who are good at reading, both oral and knowledgeable on various topics, can quickly be advertised (and more generally) than those who have less vocabulary, as well as literature, scientific discoveries and global events lack understanding. Rico Publications"
Full Description : "This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in database systems, and presents 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, artificial intelligence, machine learning, neural networks, statistics, pattern recognition, knowledge based systems, knowledge acquisition, information retrieval, high performance computing and data visualization.
Reading Introduction to Data Mining and its Applications can create great peace and inner peace. Reading spiritual texts can lower blood pressure and create a great sense of calm, but this shows that reading books with this genre helps people suffering from certain mood disorders and mild mental illness. Springer"