Journeys To Data Mining

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Journeys to Data Mining

Author : Mohamed Medhat Gaber
Publisher : Springer Science & Business Media
ISBN 13 : 3642280471
Total Pages : 241 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Journeys to Data Mining by : Mohamed Medhat Gaber

Download or read book Journeys to Data Mining written by Mohamed Medhat Gaber and published by Springer Science & Business Media. This book was released on 2012-07-20 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data mining, an interdisciplinary field combining methods from artificial intelligence, machine learning, statistics and database systems, has grown tremendously over the last 20 years and produced core results for applications like business intelligence, spatio-temporal data analysis, bioinformatics, and stream data processing. The fifteen contributors to this volume are successful and well-known data mining scientists and professionals. Although by no means an exhaustive list, all of them have helped the field to gain the reputation and importance it enjoys today, through the many valuable contributions they have made. Mohamed Medhat Gaber has asked them (and many others) to write down their journeys through the data mining field, trying to answer the following questions: 1. What are your motives for conducting research in the data mining field? 2. Describe the milestones of your research in this field. 3. What are your notable success stories? 4. How did you learn from your failures? 5. Have you encountered unexpected results? 6. What are the current research issues and challenges in your area? 7. Describe your research tools and techniques. 8. How would you advise a young researcher to make an impact? 9. What do you predict for the next two years in your area? 10. What are your expectations in the long term? In order to maintain the informal character of their contributions, they were given complete freedom as to how to organize their answers. This narrative presentation style provides PhD students and novices who are eager to find their way to successful research in data mining with valuable insights into career planning. In addition, everyone else interested in the history of computer science may be surprised about the stunning successes and possible failures computer science careers (still) have to offer.

Data Mining with Rattle and R

Author : Graham Williams
Publisher : Springer Science & Business Media
ISBN 13 : 144199890X
Total Pages : 374 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Data Mining with Rattle and R by : Graham Williams

Download or read book Data Mining with Rattle and R written by Graham Williams and published by Springer Science & Business Media. This book was released on 2011-08-04 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data mining is the art and science of intelligent data analysis. By building knowledge from information, data mining adds considerable value to the ever increasing stores of electronic data that abound today. In performing data mining many decisions need to be made regarding the choice of methodology, the choice of data, the choice of tools, and the choice of algorithms. Throughout this book the reader is introduced to the basic concepts and some of the more popular algorithms of data mining. With a focus on the hands-on end-to-end process for data mining, Williams guides the reader through various capabilities of the easy to use, free, and open source Rattle Data Mining Software built on the sophisticated R Statistical Software. The focus on doing data mining rather than just reading about data mining is refreshing. The book covers data understanding, data preparation, data refinement, model building, model evaluation, and practical deployment. The reader will learn to rapidly deliver a data mining project using software easily installed for free from the Internet. Coupling Rattle with R delivers a very sophisticated data mining environment with all the power, and more, of the many commercial offerings.

Journey to Data Scientist

Author : Kate Strachnyi
Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781548984243
Total Pages : 136 pages
Book Rating : 4.9/5 (842 download)

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Book Synopsis Journey to Data Scientist by : Kate Strachnyi

Download or read book Journey to Data Scientist written by Kate Strachnyi and published by Createspace Independent Publishing Platform. This book was released on 2017-11-13 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: When author Kate Strachnyi wanted to learn more about data science, she went straight to the source. In a series of more than twenty interviews, she asks leading data scientists questions about starting in the field and the future of the industry. With their stories, learn about the many different positions available for data scientists, the criteria recruiters look for when hiring, the best options for building your portfolio, the recruitment and interviewing process, the typical workday for a data scientist, the changing industry and its impact on other industries, the wide variety of projects that use data science, and the skills that can complement and improve your work. Strachnyi's interview subjects include team members from some of the world's largest organizations, including LinkedIn, Pinterest, Bloomberg, and IBM. These men and women graciously explain how they fell in love with data science and list the must-have skills that would make you an invaluable member of a team. Their advice gives you invaluable insight into the world of data science and the best ways you yourself can contribute to amazing research projects and the development of new technology.

Data Mining Methods and Models

Author : Daniel T. Larose
Publisher : John Wiley & Sons
ISBN 13 : 0471756474
Total Pages : 340 pages
Book Rating : 4.4/5 (717 download)

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Book Synopsis Data Mining Methods and Models by : Daniel T. Larose

Download or read book Data Mining Methods and Models written by Daniel T. Larose and published by John Wiley & Sons. This book was released on 2006-02-02 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Apply powerful Data Mining Methods and Models to Leverage your Data for Actionable Results Data Mining Methods and Models provides: * The latest techniques for uncovering hidden nuggets of information * The insight into how the data mining algorithms actually work * The hands-on experience of performing data mining on large data sets Data Mining Methods and Models: * Applies a "white box" methodology, emphasizing an understanding of the model structures underlying the softwareWalks the reader through the various algorithms and provides examples of the operation of the algorithms on actual large data sets, including a detailed case study, "Modeling Response to Direct-Mail Marketing" * Tests the reader's level of understanding of the concepts and methodologies, with over 110 chapter exercises * Demonstrates the Clementine data mining software suite, WEKA open source data mining software, SPSS statistical software, and Minitab statistical software * Includes a companion Web site, www.dataminingconsultant.com, where the data sets used in the book may be downloaded, along with a comprehensive set of data mining resources. Faculty adopters of the book have access to an array of helpful resources, including solutions to all exercises, a PowerPoint(r) presentation of each chapter, sample data mining course projects and accompanying data sets, and multiple-choice chapter quizzes. With its emphasis on learning by doing, this is an excellent textbook for students in business, computer science, and statistics, as well as a problem-solving reference for data analysts and professionals in the field. An Instructor's Manual presenting detailed solutions to all the problems in the book is available onlne.

Data Journeys in the Sciences

Author : Sabina Leonelli
Publisher : Springer Nature
ISBN 13 : 3030371778
Total Pages : 411 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Data Journeys in the Sciences by : Sabina Leonelli

Download or read book Data Journeys in the Sciences written by Sabina Leonelli and published by Springer Nature. This book was released on 2020-06-29 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: This groundbreaking, open access volume analyses and compares data practices across several fields through the analysis of specific cases of data journeys. It brings together leading scholars in the philosophy, history and social studies of science to achieve two goals: tracking the travel of data across different spaces, times and domains of research practice; and documenting how such journeys affect the use of data as evidence and the knowledge being produced. The volume captures the opportunities, challenges and concerns involved in making data move from the sites in which they are originally produced to sites where they can be integrated with other data, analysed and re-used for a variety of purposes. The in-depth study of data journeys provides the necessary ground to examine disciplinary, geographical and historical differences and similarities in data management, processing and interpretation, thus identifying the key conditions of possibility for the widespread data sharing associated with Big and Open Data. The chapters are ordered in sections that broadly correspond to different stages of the journeys of data, from their generation to the legitimisation of their use for specific purposes. Additionally, the preface to the volume provides a variety of alternative “roadmaps” aimed to serve the different interests and entry points of readers; and the introduction provides a substantive overview of what data journeys can teach about the methods and epistemology of research.

Contemporary Perspectives in Data Mining, Volume 2

Author : Ronald K. Klimberg
Publisher :
ISBN 13 : 9781681230870
Total Pages : 0 pages
Book Rating : 4.2/5 (38 download)

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Book Synopsis Contemporary Perspectives in Data Mining, Volume 2 by : Ronald K. Klimberg

Download or read book Contemporary Perspectives in Data Mining, Volume 2 written by Ronald K. Klimberg and published by . This book was released on 2015-07-21 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: A volume in Contemporary Perspectives in Data Mining Series Editors Kenneth D. Lawrence, New Jersey Institute of Technology and Ronald K. Klimberg, Saint Joseph's University The series, Contemporary Perspectives on Data Mining, is composed of blind refereed scholarly research methods and applications of data mining. This series will be targeted both at the academic community, as well as the business practitioner. Data mining seeks to discover knowledge from vast amounts of data with the use of statistical and mathematical techniques. The knowledge is extracted from this data by examining the patterns of the data, whether they be associations of groups or things, predictions, sequential relationships between time order events or natural groups. Data mining applications are in marketing (customer loyalty, identifying profitable customers, instore promotions, e-commerce populations); in business (teaching data mining, efficiency of the Chinese automobile industry, moderate asset allocation funds); and techniques (veterinary predictive models, data integrity in the cloud, irregular pattern detection in a mobility network and road safety modeling.)

Building Winning Algorithmic Trading Systems

Author : Kevin J. Davey
Publisher : John Wiley & Sons
ISBN 13 : 111877888X
Total Pages : 288 pages
Book Rating : 4.1/5 (187 download)

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Book Synopsis Building Winning Algorithmic Trading Systems by : Kevin J. Davey

Download or read book Building Winning Algorithmic Trading Systems written by Kevin J. Davey and published by John Wiley & Sons. This book was released on 2014-06-11 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Develop your own trading system with practical guidance and expert advice In Building Algorithmic Trading Systems: A Trader's Journey From Data Mining to Monte Carlo Simulation to Live Training, award-winning trader Kevin Davey shares his secrets for developing trading systems that generate triple-digit returns. With both explanation and demonstration, Davey guides you step-by-step through the entire process of generating and validating an idea, setting entry and exit points, testing systems, and implementing them in live trading. You'll find concrete rules for increasing or decreasing allocation to a system, and rules for when to abandon one. The companion website includes Davey's own Monte Carlo simulator and other tools that will enable you to automate and test your own trading ideas. A purely discretionary approach to trading generally breaks down over the long haul. With market data and statistics easily available, traders are increasingly opting to employ an automated or algorithmic trading system—enough that algorithmic trades now account for the bulk of stock trading volume. Building Algorithmic Trading Systems teaches you how to develop your own systems with an eye toward market fluctuations and the impermanence of even the most effective algorithm. Learn the systems that generated triple-digit returns in the World Cup Trading Championship Develop an algorithmic approach for any trading idea using off-the-shelf software or popular platforms Test your new system using historical and current market data Mine market data for statistical tendencies that may form the basis of a new system Market patterns change, and so do system results. Past performance isn't a guarantee of future success, so the key is to continually develop new systems and adjust established systems in response to evolving statistical tendencies. For individual traders looking for the next leap forward, Building Algorithmic Trading Systems provides expert guidance and practical advice.

Data Mining Techniques in CRM

Author : Konstantinos K. Tsiptsis
Publisher : John Wiley & Sons
ISBN 13 : 1119965454
Total Pages : 288 pages
Book Rating : 4.1/5 (199 download)

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Book Synopsis Data Mining Techniques in CRM by : Konstantinos K. Tsiptsis

Download or read book Data Mining Techniques in CRM written by Konstantinos K. Tsiptsis and published by John Wiley & Sons. This book was released on 2011-08-24 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an applied handbook for the application of data mining techniques in the CRM framework. It combines a technical and a business perspective to cover the needs of business users who are looking for a practical guide on data mining. It focuses on Customer Segmentation and presents guidelines for the development of actionable segmentation schemes. By using non-technical language it guides readers through all the phases of the data mining process.

Data Preparation for Data Mining

Author : Dorian Pyle
Publisher : Morgan Kaufmann
ISBN 13 : 9781558605299
Total Pages : 566 pages
Book Rating : 4.6/5 (52 download)

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Book Synopsis Data Preparation for Data Mining by : Dorian Pyle

Download or read book Data Preparation for Data Mining written by Dorian Pyle and published by Morgan Kaufmann. This book was released on 1999-03-22 with total page 566 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Big Data Mining and Complexity

Author : Brian C. Castellani
Publisher : SAGE
ISBN 13 : 1529710995
Total Pages : 144 pages
Book Rating : 4.5/5 (297 download)

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Book Synopsis Big Data Mining and Complexity by : Brian C. Castellani

Download or read book Big Data Mining and Complexity written by Brian C. Castellani and published by SAGE. This book was released on 2022-03-01 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a much needed critical introduction to data mining and ‘big data’. Supported by multiple case studies and examples, the authors provide: Digestible overviews of key terms and concepts relevant to using social media data in quantitative research. A critical review of data mining and ‘big data’ from a complexity science perspective, including its future potential and limitations A practical exploration of the challenges of putting together and managing a ‘big data’ database An evaluation of the core mathematical and conceptual frameworks, grounded in a case-based computational modeling perspective, which form the foundations of all data mining techniques Part of The SAGE Quantitative Research Kit, this book will give you the know-how and confidence needed to succeed on your quantitative research journey.

Data Mining for Business Analytics

Author : Galit Shmueli
Publisher : John Wiley & Sons
ISBN 13 : 111954985X
Total Pages : 608 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Data Mining for Business Analytics by : Galit Shmueli

Download or read book Data Mining for Business Analytics written by Galit Shmueli and published by John Wiley & Sons. This book was released on 2019-10-14 with total page 608 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using Python software for illustration Readers will learn how to implement a variety of popular data mining algorithms in Python (a free and open-source software) to tackle business problems and opportunities. This is the sixth version of this successful text, and the first using Python. It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining and network analysis. It also includes: A new co-author, Peter Gedeck, who brings both experience teaching business analytics courses using Python, and expertise in the application of machine learning methods to the drug-discovery process A new section on ethical issues in data mining Updates and new material based on feedback from instructors teaching MBA, undergraduate, diploma and executive courses, and from their students More than a dozen case studies demonstrating applications for the data mining techniques described End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented A companion website with more than two dozen data sets, and instructor materials including exercise solutions, PowerPoint slides, and case solutions Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python is an ideal textbook for graduate and upper-undergraduate level courses in data mining, predictive analytics, and business analytics. This new edition is also an excellent reference for analysts, researchers, and practitioners working with quantitative methods in the fields of business, finance, marketing, computer science, and information technology. “This book has by far the most comprehensive review of business analytics methods that I have ever seen, covering everything from classical approaches such as linear and logistic regression, through to modern methods like neural networks, bagging and boosting, and even much more business specific procedures such as social network analysis and text mining. If not the bible, it is at the least a definitive manual on the subject.” —Gareth M. James, University of Southern California and co-author (with Witten, Hastie and Tibshirani) of the best-selling book An Introduction to Statistical Learning, with Applications in R

Journeys in Science

Author : Fanuel Muindi
Publisher : Academic Press
ISBN 13 : 0128130911
Total Pages : 130 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Journeys in Science by : Fanuel Muindi

Download or read book Journeys in Science written by Fanuel Muindi and published by Academic Press. This book was released on 2017-07-26 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: Journeys in Science: Inspiring the Next Generation examines the STEM education pipeline and discusses important strategies on working through the various challenges that STEM trainees face. The book takes a look at career possibilities for scientists in the broadest sense, and is not solely limited to academia. Coverage includes individual and local concepts, as well as a discussion on how STEM education impacts trainee communities across the globe. The book also focuses on diversity in STEM and offers valuable insights based on the authors’ own experiences. Offers advice for those in the STEM pipeline at all stages of training Contains global perspectives on trainees in STEM Includes personal vignettes, also utilizing primary research literature and data

A Practical Guide to Data Mining for Business and Industry

Author : Andrea Ahlemeyer-Stubbe
Publisher : John Wiley & Sons
ISBN 13 : 1118763378
Total Pages : 328 pages
Book Rating : 4.1/5 (187 download)

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Book Synopsis A Practical Guide to Data Mining for Business and Industry by : Andrea Ahlemeyer-Stubbe

Download or read book A Practical Guide to Data Mining for Business and Industry written by Andrea Ahlemeyer-Stubbe and published by John Wiley & Sons. This book was released on 2014-03-31 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Advances in Data Mining. Applications and Theoretical Aspects

Author : Petra Perner
Publisher : Springer Science & Business Media
ISBN 13 : 364203067X
Total Pages : 412 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Advances in Data Mining. Applications and Theoretical Aspects by : Petra Perner

Download or read book Advances in Data Mining. Applications and Theoretical Aspects written by Petra Perner and published by Springer Science & Business Media. This book was released on 2009-07-09 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume comprises the proceedings of the Industrial Conference on Data Mining (ICDM 2009) held in Leipzig (www.data-mining-forum.de). For this edition the Program Committee received 130 submissions. After the pe- review process, we accepted 32 high-quality papers for oral presentation that are included in this book. The topics range from theoretical aspects of data mining to app- cations of data mining, such as on multimedia data, in marketing, finance and telec- munication, in medicine and agriculture, and in process control, industry and society. Ten papers were selected for poster presentations that are published in the ICDM Poster Proceedings Volume by ibai-publishing (www.ibai-publishing.org). In conjunction with ICDM two workshops were run focusing on special hot app- cation-oriented topics in data mining. The workshop Data Mining in Marketing DMM 2009 was run for the second time. The papers are published in a separate workshop book “Advances in Data Mining on Markting” by ibai-publishing (www.ibai-publishing.org). The Workshop on Case-Based Reasoning for Multimedia Data CBR-MD ran for the second year. The papers are published in a special issue of the International Journal of Transactios on Case-Based Reasoning (www.ibai-publishing.org/journal/cbr).

Java Data Mining: Strategy, Standard, and Practice

Author : Mark F. Hornick
Publisher : Elsevier
ISBN 13 : 9780080495910
Total Pages : 544 pages
Book Rating : 4.4/5 (959 download)

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Book Synopsis Java Data Mining: Strategy, Standard, and Practice by : Mark F. Hornick

Download or read book Java Data Mining: Strategy, Standard, and Practice written by Mark F. Hornick and published by Elsevier. This book was released on 2010-07-26 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Data Mining

Author : Hillol Kargupta
Publisher :
ISBN 13 :
Total Pages : 582 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Data Mining by : Hillol Kargupta

Download or read book Data Mining written by Hillol Kargupta and published by . This book was released on 2004 with total page 582 pages. Available in PDF, EPUB and Kindle. Book excerpt: A state-of-the-art survey of recent advances in data mining or knowledge discovery.

Contemporary Perspectives in Data Mining

Author : Kenneth D. Lawrence
Publisher : IAP
ISBN 13 : 164802145X
Total Pages : 159 pages
Book Rating : 4.6/5 (48 download)

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Book Synopsis Contemporary Perspectives in Data Mining by : Kenneth D. Lawrence

Download or read book Contemporary Perspectives in Data Mining written by Kenneth D. Lawrence and published by IAP. This book was released on 2021-01-01 with total page 159 pages. Available in PDF, EPUB and Kindle. Book excerpt: The series, Contemporary Perspectives on Data Mining, is composed of blind refereed scholarly research methods and applications of data mining. This series will be targeted both at the academic community, as well as the business practitioner. Data mining seeks to discover knowledge from vast amounts of data with the use of statistical and mathematical techniques. The knowledge is extracted from this data by examining the patterns of the data, whether they be associations of groups or things, predictions, sequential relationships between time order events or natural groups. Data mining applications are in business (banking, brokerage, and insurance), marketing (customer relationship, retailing, logistics, and travel), as well as in manufacturing, health care, fraud detection, homeland security and law enforcement.