Sports Data Mining

Author: Robert P. Schumaker
Publisher: Springer Science & Business Media
ISBN: 1441967303
Release Date: 2010-09-10
Genre: Computers

Data mining is the process of extracting hidden patterns from data, and it’s commonly used in business, bioinformatics, counter-terrorism, and, increasingly, in professional sports. First popularized in Michael Lewis’ best-selling Moneyball: The Art of Winning An Unfair Game, it is has become an intrinsic part of all professional sports the world over, from baseball to cricket to soccer. While an industry has developed based on statistical analysis services for any given sport, or even for betting behavior analysis on these sports, no research-level book has considered the subject in any detail until now. Sports Data Mining brings together in one place the state of the art as it concerns an international array of sports: baseball, football, basketball, soccer, greyhound racing are all covered, and the authors (including Hsinchun Chen, one of the most esteemed and well-known experts in data mining in the world) present the latest research, developments, software available, and applications for each sport. They even examine the hidden patterns in gaming and wagering, along with the most common systems for wager analysis.

Data Mining Applications with R

Author: Yanchang Zhao
Publisher: Academic Press
ISBN: 9780124115200
Release Date: 2013-11-26
Genre: Computers

Data Mining Applications with R is a great resource for researchers and professionals to understand the wide use of R, a free software environment for statistical computing and graphics, in solving different problems in industry. R is widely used in leveraging data mining techniques across many different industries, including government, finance, insurance, medicine, scientific research and more. This book presents 15 different real-world case studies illustrating various techniques in rapidly growing areas. It is an ideal companion for data mining researchers in academia and industry looking for ways to turn this versatile software into a powerful analytic tool. R code, Data and color figures for the book are provided at the RDataMining.com website. Helps data miners to learn to use R in their specific area of work and see how R can apply in different industries Presents various case studies in real-world applications, which will help readers to apply the techniques in their work Provides code examples and sample data for readers to easily learn the techniques by running the code by themselves

Introduction to Data Mining and Its Applications

Author: S. Sumathi
Publisher: Springer Science & Business Media
ISBN: 9783540343509
Release Date: 2006-09-26
Genre: Computers

This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in data base systems and new data base applications and is also designed to give 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, AI, machine learning, NN, statistics, pattern recognition, knowledge based systems, knowledge acquisition, information retrieval, high performance computing and data visualization. This book is intended for a wide audience of readers who are not necessarily experts in data warehousing and data mining, but are interested in receiving a general introduction to these areas and their many practical applications. Since data mining technology has become a hot topic not only among academic students but also for decision makers, it provides valuable hidden business and scientific intelligence from a large amount of historical data. It is also written for technical managers and executives as well as for technologists interested in learning about data mining.

Real World Data Mining

Author: Dursun Delen
Publisher: FT Press
ISBN: 9780133551112
Release Date: 2014-12-16
Genre: Computers

Use the latest data mining best practices to enable timely, actionable, evidence-based decision making throughout your organization! Real-World Data Mining demystifies current best practices, showing how to use data mining to uncover hidden patterns and correlations, and leverage these to improve all aspects of business performance. Drawing on extensive experience as a researcher, practitioner, and instructor, Dr. Dursun Delen delivers an optimal balance of concepts, techniques and applications. Without compromising either simplicity or clarity, he provides enough technical depth to help readers truly understand how data mining technologies work. Coverage includes: processes, methods, techniques, tools, and metrics; the role and management of data; text and web mining; sentiment analysis; and Big Data integration. Throughout, Delen's conceptual coverage is complemented with application case studies (examples of both successes and failures), as well as simple, hands-on tutorials. Real-World Data Mining will be valuable to professionals on analytics teams; professionals seeking certification in the field; and undergraduate or graduate students in any analytics program: concentrations, certificate-based, or degree-based.

Advances in Knowledge Discovery and Data Mining

Author: Tru Cao
Publisher: Springer
ISBN: 9783319180328
Release Date: 2015-05-08
Genre: Computers

This two-volume set, LNAI 9077 + 9078, constitutes the refereed proceedings of the 19th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2015, held in Ho Chi Minh City, Vietnam, in May 2015. The proceedings contain 117 paper carefully reviewed and selected from 405 submissions. They have been organized in topical sections named: social networks and social media; classification; machine learning; applications; novel methods and algorithms; opinion mining and sentiment analysis; clustering; outlier and anomaly detection; mining uncertain and imprecise data; mining temporal and spatial data; feature extraction and selection; mining heterogeneous, high-dimensional, and sequential data; entity resolution and topic-modeling; itemset and high-performance data mining; and recommendations.

Knowledge Discovery and Data Mining

Author: Honghua Tan
Publisher: Springer Science & Business Media
ISBN: 9783642277085
Release Date: 2012-02-04
Genre: Computers

The volume includes a set of selected papers extended and revised from the 4th International conference on Knowledge Discovery and Data Mining, March 1-2, 2011, Macau, Chin. This Volume is to provide a forum for researchers, educators, engineers, and government officials involved in the general areas of knowledge discovery and data mining and learning to disseminate their latest research results and exchange views on the future research directions of these fields. 108 high-quality papers are included in the volume.

Data Mining for Managers

Author: R. Boire
Publisher: Springer
ISBN: 9781137406194
Release Date: 2014-11-17
Genre: Business & Economics

Big Data is a growing business trend, but there little advice available on how to use it practically. Written by a data mining expert with over 30 years of experience, this book uses case studies to help marketers, brand managers and IT professionals understand how to capture and measure data for marketing purposes.

Sports Fundraising

Author: David J. Kelley
Publisher: Routledge
ISBN: 9780415507196
Release Date: 2012
Genre: Education

Sports Fundraising is a complete introduction to fundamental principles and best practice in sports fundraising. Focusing on the particular challenges of fundraising in intercollegiate and interscholastic sport, and for youth sport organizations, the book is designed to help students develop the professional skills that they will need for a successful career in sports or education administration. Packed with real-life case studies and scenarios, the book offers a step-by-step guide to the effective planning, communication, implementation and management of sports fundraising projects, and introduces the most important issues in contemporary sports fundraising. Each chapter contains a range of useful features, from definitions of key terms to skill-building exercises, exploring both quantitative and qualitative methods for understanding the fundraising process and designing more effective fundraising projects. This is an essential course text for any athletic or sport fundraising course, and an invaluable reference for all professional fundraisers working in sport or education.

Managing Data Mining

Author: Stephan Kudyba
Publisher: IGI Global
ISBN: 9781591402442
Release Date: 2004-01-01
Genre: Computers

The use of high-end analytical software technologies, or data mining, can aid decision makers in extracting information and knowledge from their sometimes overwhelming store of data collected continuously in their organizations. The chapters in this collection, each written by noted practitioners and experts in various organizations, will provide you with ideas and measurements in this growing management concern."--BOOK JACKET.

Multimedia Data Mining and Knowledge Discovery

Author: Valery A. Petrushin
Publisher: Springer Science & Business Media
ISBN: 9781846287992
Release Date: 2007-10-20
Genre: Computers

This volume provides an overview of multimedia data mining and knowledge discovery and discusses the variety of hot topics in multimedia data mining research. It describes the objectives and current tendencies in multimedia data mining research and their applications. Each part contains an overview of its chapters and leads the reader with a structured approach through the diverse subjects in the field.

Knowledge Discovery in Databases PKDD 2004

Author: Jean-Francois Boulicaut
Publisher: Springer Science & Business Media
ISBN: 9783540231080
Release Date: 2004-09-10
Genre: Computers

This book constitutes the refereed proceedings of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2004, held in Pisa, Italy, in September 2004 jointly with ECML 2004. The 39 revised full papers and 9 revised short papers presented together with abstracts of 5 invited talks were carefully reviewed and selected from 194 papers submitted to PKDD and 107 papers submitted to both, PKDD and ECML. The papers present a wealth of new results in knowledge discovery in databases and address all current issues in the area.

Exploratory Data Mining and Data Cleaning

Author: Tamraparni Dasu
Publisher: John Wiley & Sons
ISBN: 9780471458647
Release Date: 2003-08-01
Genre: Mathematics

Written for practitioners of data mining, data cleaning anddatabase management. Presents a technical treatment of data quality includingprocess, metrics, tools and algorithms. Focuses on developing an evolving modeling strategy through aniterative data exploration loop and incorporation of domainknowledge. Addresses methods of detecting, quantifying and correcting dataquality issues that can have a significant impact on findings anddecisions, using commercially available tools as well as newalgorithmic approaches. Uses case studies to illustrate applications in real lifescenarios. Highlights new approaches and methodologies, such as theDataSphere space partitioning and summary based analysistechniques. Exploratory Data Mining and Data Cleaning will serve as animportant reference for serious data analysts who need to analyzelarge amounts of unfamiliar data, managers of operations databases,and students in undergraduate or graduate level courses dealingwith large scale data analys is and data mining.

Advances in Multimedia Information Processing PCM 2004

Author: Kiyoharu Aizawa
Publisher: Springer Science & Business Media
ISBN: 9783540239772
Release Date: 2004-11-22
Genre: Computers

Welcome to the proceedings of the 5th Paci?c Rim Conference on Multimedia (PCM 2004) held in Tokyo Waterfront City, Japan, November 30–December 3, 2004. Following the success of the preceding conferences, PCM 2000 in Sydney, PCM 2001 in Beijing, PCM 2002 in Hsinchu, and PCM 2003 in Singapore, the ?fth PCM brought together the researchers, developers, practitioners, and educators in the ?eld of multimedia. Theoretical breakthroughs and practical systems were presented at this conference, thanks to the support of the IEEE Circuits and Systems Society, IEEE Region 10 and IEEE Japan Council, ACM SIGMM, IEICE and ITE. PCM2004featuredacomprehensiveprogramincludingkeynotetalks,regular paperpresentations,posters,demos,andspecialsessions.Wereceived385papers andthenumberofsubmissionswasthelargestamongrecentPCMs.Amongsuch a large number of submissions, we accepted only 94 oral presentations and 176 poster presentations. Seven special sessions were also organized by world-leading researchers. We kindly acknowledge the great support provided in the reviewing of submissions by the program committee members, as well as the additional reviewers who generously gave their time. The many useful comments provided by the reviewing process must have been very valuable for the authors’ work. Thisconferencewouldneverhavehappenedwithoutthehelpofmanypeople. We greatly appreciate the support of our strong organizing committee chairs and advisory chairs. Among the chairs, special thanks go to Dr. Ichiro Ide and Dr. Takeshi Naemura who smoothly handled publication of the proceedings with Springer. Dr. Kazuya Kodama did a fabulous job as our Web master.