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Author: Ivanka Menken
Publisher: Emereo Publishing
ISBN: 9781488501241
Category : Computers
Languages : en
Pages : 114
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Book Description
Uncover the essential tool for information management professionals known as Data Mining. The Data Mining approach aims to identify relationships and patterns among data sets. Become a valued member of your organization by learning the tools and processes of the Data Mining implementation. Data are text, numbers, or facts that can be processed by a computer. With the vast amounts of data accumulated by organizations today, it is vital for a business to ensure that this data is managed, maintained, and analyzed correctly. Data Mining can be described as the process of analyzing data from different and alternate viewpoints or perspectives, and summarizing this into information that can be used to improve financial gain and business growth. In technical terms, data mining is implemented to find patterns among large fields of data. This course would be beneficial to IT managers looking to improve data management and analysis techniques, businesses looking to improve financial gain and company growth, and data analysts investigating the processes and tools of successful Data Mining. This certification validates your knowledge of specific methods, models, and/or tools. This is essential to professionals in order to be updated on the latest multimedia trends, and to add to their Data Mining toolbox. The industry is facing a bold, new world with the amazing developments in Data Mining technology, and the challenges and the opportunities that this presents are unprecedented. The Data Mining Complete Certification Kit serves as a complete introductory guide for anyone looking to grasp a better understanding of Data Mining concepts and their practical application in any environment. The Art of Service's introductory Data Mining training and certification helps IT practitioners develop the skills that are crucial, as businesses embark on this massive transformation. It provides an industry credential for IT professionals to help them transform into the world of Data Mining. This training and certification enables you to move both the industry and business forward, and to quickly take advantage of the benefits that Data Mining applications present. Take the next step: Get Certified! The Art of Service IT Service Management programs are the #1 certification programs in the information management industry. Being proven means investing in yourself, and formally validating your knowledge, skills, and expertise by the industry's most comprehensive learning and certification program. The Data Mining Complete Certification course prepares you for Data Mining Certification. Why register? - Easy and affordable. - Learning about Data Mining technologies has never been more affordable. - Latest industry trends are explained. - Acquire valuable skills and get updated about the industry's latest trends right here. Today. - Learn from the Experts. The Art of Service offers education about Data Mining and 300 other technologies by the industry's best. - Learn at your own pace. Find everything right here, when you need it, and from wherever you are. What will you learn? - Learn the important concepts, tools, processes, and uses of Data Mining. - Learn about the benefits of implementing a Data Mining approach in information management sectors. - Examine Data patterns and relationships. - Learn about Minable Data. - Explore the usefulness of Data Mining and future predictions. Course Outline The topics covered in this course are: - Introduction to Knowledge Discovery in Databases - Introduction to Data Mining - Minable Data - Visualizing Data Patterns - Data Mining Process - Data Mining Tools - Usefulness and Future Data Mining Contact Hours: The recommended minimum contact hours to pass the certification test is 18 hours. Delivery: The program combines presentations supported by trainer audio. Each module is followed by qui
Author: Ivanka Menken
Publisher: Emereo Publishing
ISBN: 9781488501241
Category : Computers
Languages : en
Pages : 114
Get Book Here
Book Description
Uncover the essential tool for information management professionals known as Data Mining. The Data Mining approach aims to identify relationships and patterns among data sets. Become a valued member of your organization by learning the tools and processes of the Data Mining implementation. Data are text, numbers, or facts that can be processed by a computer. With the vast amounts of data accumulated by organizations today, it is vital for a business to ensure that this data is managed, maintained, and analyzed correctly. Data Mining can be described as the process of analyzing data from different and alternate viewpoints or perspectives, and summarizing this into information that can be used to improve financial gain and business growth. In technical terms, data mining is implemented to find patterns among large fields of data. This course would be beneficial to IT managers looking to improve data management and analysis techniques, businesses looking to improve financial gain and company growth, and data analysts investigating the processes and tools of successful Data Mining. This certification validates your knowledge of specific methods, models, and/or tools. This is essential to professionals in order to be updated on the latest multimedia trends, and to add to their Data Mining toolbox. The industry is facing a bold, new world with the amazing developments in Data Mining technology, and the challenges and the opportunities that this presents are unprecedented. The Data Mining Complete Certification Kit serves as a complete introductory guide for anyone looking to grasp a better understanding of Data Mining concepts and their practical application in any environment. The Art of Service's introductory Data Mining training and certification helps IT practitioners develop the skills that are crucial, as businesses embark on this massive transformation. It provides an industry credential for IT professionals to help them transform into the world of Data Mining. This training and certification enables you to move both the industry and business forward, and to quickly take advantage of the benefits that Data Mining applications present. Take the next step: Get Certified! The Art of Service IT Service Management programs are the #1 certification programs in the information management industry. Being proven means investing in yourself, and formally validating your knowledge, skills, and expertise by the industry's most comprehensive learning and certification program. The Data Mining Complete Certification course prepares you for Data Mining Certification. Why register? - Easy and affordable. - Learning about Data Mining technologies has never been more affordable. - Latest industry trends are explained. - Acquire valuable skills and get updated about the industry's latest trends right here. Today. - Learn from the Experts. The Art of Service offers education about Data Mining and 300 other technologies by the industry's best. - Learn at your own pace. Find everything right here, when you need it, and from wherever you are. What will you learn? - Learn the important concepts, tools, processes, and uses of Data Mining. - Learn about the benefits of implementing a Data Mining approach in information management sectors. - Examine Data patterns and relationships. - Learn about Minable Data. - Explore the usefulness of Data Mining and future predictions. Course Outline The topics covered in this course are: - Introduction to Knowledge Discovery in Databases - Introduction to Data Mining - Minable Data - Visualizing Data Patterns - Data Mining Process - Data Mining Tools - Usefulness and Future Data Mining Contact Hours: The recommended minimum contact hours to pass the certification test is 18 hours. Delivery: The program combines presentations supported by trainer audio. Each module is followed by qui
Author: Ivanka Menken
Publisher: Emereo Pty Limited
ISBN: 9781486143559
Category : Computers
Languages : en
Pages : 166
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Book Description
We live in a data-driven world. Increasingly, the efficient operation of organizations across sectors relies on the effective use of vast amounts of data. Making sense of big data is a combination of organizations having the tools, skills and more importantly, the mindset to see data as the new 'oil' fuelling a company. Unfortunately, the technology has evolved faster than the workforce skills to make sense of it and organizations across sectors must adapt to this new reality or perish.' Andreas Weigend, Ph.D Stanford, Head of the Social Data Lab at Stanford, former Chief Scientist Amazon.com The industry is facing a bold new world with the amazing technological developments of the Cloud and Big Data, and the challenges and the opportunities this presents are unprecedented. The Big Data Complete Certification Kit serves as a complete introductory guide for anyone looking to grasp a better understanding of Big Data concepts and its practical application in any IT environment. The Art of Service's introductory Big Data training and certification helps IT practitioners develop the skills that are crucial as businesses embark on this massive transformation. It provides an industry credential for business analysts, data warehouse experts or any other IT professional to help them transform into the world of Data Science. This training and certification enables you to move both the industry and business forward and quickly take advantage of the benefits that the cloud and Big Data present. Take the next step: Get Certified! The Art of Service IT Service Management programs are the #1 certification programs in the information management industry. Being Proven means investing in yourself and formally validating your knowledge, skills, and expertise by the industry's most comprehensive learning and certification program. The Big Data Complete Certification Kit course prepares you for Big Data Certification. Why register? - Easy and Affordable - Learning about Hadoop and other Big Data technologies has never been more affordable - Latest industry trends explained - Acquire valuable skills and get updated about industry's latest trends right here. Today. - Learn from the Experts. The Art of Service offers education about Big Data and 300 other technologies by the industry's best - Learn at your Own Pace. Find everything right here when you need it and from wherever you are What will you learn? - What is Big Data? - How to Gain Insights From Big Data - Available Solutions For Big Data - Find out how Unstructured Data Can Deliver Fresh Insights - How to plan for Big Data - Big Data Cloud Analytics - Real-time Big Data - Big Data and Pricing Effectiveness - Transform Big Data Efficiently into knowledge - How to Unlock the value - Unstructured and Structured Data - Turn Big Data Into Business Value Course Outline - The topics covered in this course are: - Big Data Overview - Introduction to Big Data Analytics - Data Storage - Networking Systems - File Systems and Software - Website Systems and Software - Audio and Video Systems Contact Hours: The recommended minimum contact hours to pass the certification test is 18 hours Delivery: The program combines 10 presentations supported by trainer audio. Each module is followed by quizzes and exercises (marking scheme provided) to test your knowledge and competency, and to enhance understanding of the key concepts. A Certificate is awarded to your successful passing of the final exam (80% pass requirement) and completion of the course. This is an eLearning Program. Your access details to the eLearning course are in the book. Program Materials: - Multimedia presentations - Downloadable resources (PDF documents) - End of module review questions to assess your content knowledge
Author: Cynthia Hahn
Publisher: Emereo Publishing
ISBN: 9781489120656
Category : Education
Languages : en
Pages : 370
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Book Description
This self-study Exam preparation guide and its accompanying online course for the Data Mining Certification Exam contains everything you need to test yourself and pass the Exam. All Exam topics are covered and insider secrets, complete explanations of all Data Mining subjects, test tricks and tips, numerous highly realistic sample questions, and exercises designed to strengthen understanding of Data Mining concepts and prepare you for Exam success on the first attempt are provided. Included with your purchase: 1. This book 2. eLearning Course Access 3. PDF Course book 4. Exam 5. Upon successful completion of the course and exam, you will receive a personalized certificate Put your knowledge and experience to the test. Achieve Data Mining Certification and accelerate your career with the included Exam. Can you imagine valuing a book and its course so much that you send the author a *Thank You* email? Tens of thousands of people understand why this is a worldwide best-seller. Is it the authors years of experience? The endless hours of ongoing research? The interviews with those who failed the Exam, to identify gaps in their knowledge? Or is it the razor-sharp focus on making sure you don't waste a single minute of your time studying any more than you absolutely have to? Actually, it's all of the above. This book and its accompanying online course includes new exercises and sample questions never before in print. Offering numerous sample questions, critical time-saving tips plus information available nowhere else, this book will help you pass the Data Mining Exam on your FIRST try. How To Get Up to speed with the theory? Buy this. Read it. Do the eLearning Program. And Pass the Data Mining Exam.
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: Management Association, Information Resources
Publisher: IGI Global
ISBN: 1466624566
Category : Computers
Languages : en
Pages : 2335
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Book Description
Data mining continues to be an emerging interdisciplinary field that offers the ability to extract information from an existing data set and translate that knowledge for end-users into an understandable way. Data Mining: Concepts, Methodologies, Tools, and Applications is a comprehensive collection of research on the latest advancements and developments of data mining and how it fits into the current technological world.
Author: Jiawei Han
Publisher: Elsevier
ISBN: 0123814804
Category : Computers
Languages : en
Pages : 740
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Book Description
Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, this edition explains the methods of knowing, preprocessing, processing, and warehousing data. It then presents information about data warehouses, online analytical processing (OLAP), and data cube technology. Then, the methods involved in mining frequent patterns, associations, and correlations for large data sets are described. The book details the methods for data classification and introduces the concepts and methods for data clustering. The remaining chapters discuss the outlier detection and the trends, applications, and research frontiers in data mining. This book is intended for Computer Science students, application developers, business professionals, and researchers who seek information on data mining. - Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects - Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields - Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data
Author: Michael J. A. Berry
Publisher: John Wiley & Sons
ISBN: 0764569074
Category : Computers
Languages : en
Pages : 671
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Book Description
Packed with more than forty percent new and updated material,this edition shows business managers, marketing analysts, and datamining specialists how to harness fundamental data mining methodsand techniques to solve common types of business problems Each chapter covers a new data mining technique, and then showsreaders how to apply the technique for improved marketing, sales,and customer support The authors build on their reputation for concise, clear, andpractical explanations of complex concepts, making this book theperfect introduction to data mining More advanced chapters cover such topics as how to prepare datafor analysis and how to create the necessary infrastructure fordata mining Covers core data mining techniques, including decision trees,neural networks, collaborative filtering, association rules, linkanalysis, clustering, and survival analysis
Author: Bertrand Clarke
Publisher: Springer Science & Business Media
ISBN: 0387981357
Category : Computers
Languages : en
Pages : 786
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Book Description
Extensive treatment of the most up-to-date topics Provides the theory and concepts behind popular and emerging methods Range of topics drawn from Statistics, Computer Science, and Electrical Engineering
Author: Oded Maimon
Publisher: Springer Science & Business Media
ISBN: 038725465X
Category : Computers
Languages : en
Pages : 1378
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Book Description
Data Mining and Knowledge Discovery Handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified repository. This book first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. This volume concludes with in-depth descriptions of data mining applications in various interdisciplinary industries including finance, marketing, medicine, biology, engineering, telecommunications, software, and security. Data Mining and Knowledge Discovery Handbook is designed for research scientists and graduate-level students in computer science and engineering. This book is also suitable for professionals in fields such as computing applications, information systems management, and strategic research management.
