Data Mining Applications for Small and Medium Enterprises

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Publisher :
ISBN 13 : 9789810522278
Total Pages : 270 pages
Book Rating : 4.5/5 (222 download)

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Book Synopsis Data Mining Applications for Small and Medium Enterprises by : Hian Chye Koh

Download or read book Data Mining Applications for Small and Medium Enterprises written by Hian Chye Koh and published by . This book was released on 2005 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Business Intelligence and Analytics in Small and Medium Enterprises

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Publisher : CRC Press
ISBN 13 : 0429509367
Total Pages : 172 pages
Book Rating : 4.4/5 (295 download)

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Book Synopsis Business Intelligence and Analytics in Small and Medium Enterprises by : Pedro Novo Melo

Download or read book Business Intelligence and Analytics in Small and Medium Enterprises written by Pedro Novo Melo and published by CRC Press. This book was released on 2019-11-26 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technological developments in recent years have been tremendous. This evolution is visible in companies through technological equipment, computerized procedures, and management practices associated with technologies. One of the management practices that is visible is related to business intelligence and analytics (BI&A). Concepts such as data warehousing, key performance indicators (KPIs), data mining, and dashboards are changing the business arena. This book aims to promote research related to these new trends that open up a new field of research in the small and medium enterprises (SMEs) area. Features Focuses on the more recent research findings occurring in the fields of BI&A Conveys how companies in the developed world are facing today's technological challenges Shares knowledge and insights on an international scale Provides different options and strategies to manage competitive organizations Addresses several dimensions of BI&A in favor of SMEs

Surveillance Technologies and Early Warning Systems: Data Mining Applications for Risk Detection

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Publisher : IGI Global
ISBN 13 : 1616928670
Total Pages : 356 pages
Book Rating : 4.6/5 (169 download)

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Book Synopsis Surveillance Technologies and Early Warning Systems: Data Mining Applications for Risk Detection by : Koyuncugil, Ali Serhan

Download or read book Surveillance Technologies and Early Warning Systems: Data Mining Applications for Risk Detection written by Koyuncugil, Ali Serhan and published by IGI Global. This book was released on 2010-09-30 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Surveillance Technologies and Early Warning Systems: Data Mining Applications for Risk Detection has never been more important, as the research this book presents an alternative to conventional surveillance and risk assessment. This book is a multidisciplinary excursion comprised of data mining, early warning systems, information technologies and risk management and explores the intersection of these components in problematic domains. It offers the ability to apply the most modern techniques to age old problems allowing for increased effectiveness in the response to future, eminent, and present risk.

Small and Medium Enterprises

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Publisher : IGI Global
ISBN 13 : 1466638877
Total Pages : 2031 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Small and Medium Enterprises by : Information Resources Management Association

Download or read book Small and Medium Enterprises written by Information Resources Management Association and published by IGI Global. This book was released on 2013-04-30 with total page 2031 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides a comprehensive collection of research on current technological developments and organizational perspectives on the scale of small and medium enterprises"--Provided by publisher.

Data Mining Applications for Empowering Knowledge Societies

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Publisher : IGI Global
ISBN 13 : 1599046598
Total Pages : 356 pages
Book Rating : 4.5/5 (99 download)

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Book Synopsis Data Mining Applications for Empowering Knowledge Societies by : Rahman, Hakikur

Download or read book Data Mining Applications for Empowering Knowledge Societies written by Rahman, Hakikur and published by IGI Global. This book was released on 2008-07-31 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents an overview of the main issues of data mining, including its classification, regression, clustering, and ethical issues. Provides readers with knowledge enhancing processes as well as a wide spectrum of data mining applications.

Data Mining: Concepts, Methodologies, Tools, and Applications

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Publisher : IGI Global
ISBN 13 : 1466624566
Total Pages : 2335 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Data Mining: Concepts, Methodologies, Tools, and Applications by : Management Association, Information Resources

Download or read book Data Mining: Concepts, Methodologies, Tools, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2012-11-30 with total page 2335 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Data Mining for Business Applications

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Publisher : Springer Science & Business Media
ISBN 13 : 0387794204
Total Pages : 310 pages
Book Rating : 4.3/5 (877 download)

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Book Synopsis Data Mining for Business Applications by : Longbing Cao

Download or read book Data Mining for Business Applications written by Longbing Cao and published by Springer Science & Business Media. This book was released on 2008-10-03 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining for Business Applications presents the state-of-the-art research and development outcomes on methodologies, techniques, approaches and successful applications in the area. The contributions mark a paradigm shift from “data-centered pattern mining” to “domain driven actionable knowledge discovery” for next-generation KDD research and applications. The contents identify how KDD techniques can better contribute to critical domain problems in theory and practice, and strengthen business intelligence in complex enterprise applications. The volume also explores challenges and directions for future research and development in the dialogue between academia and business.

Customer and Business Analytics

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Publisher : CRC Press
ISBN 13 : 146650398X
Total Pages : 314 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Customer and Business Analytics by : Daniel S. Putler

Download or read book Customer and Business Analytics written by Daniel S. Putler and published by CRC Press. This book was released on 2012-05-07 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying open-source software, how advanced analytical tools can address various business problems. It also gives insight into some of the challenges faced when deploying these tools. Extensively classroom-tested, the tex

Emerging Technologies in Computing

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Publisher : Springer Nature
ISBN 13 : 3030900169
Total Pages : 203 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Emerging Technologies in Computing by : Mahdi H. Miraz

Download or read book Emerging Technologies in Computing written by Mahdi H. Miraz and published by Springer Nature. This book was released on 2021-11-03 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed conference proceedings of the 4th International Conference on Emerging Technologies in Computing, iCEtiC 2021, held in August 2021. Due to VOVID-19 pandemic the conference was helt virtually. The 15 revised full papers were reviewed and selected from 44 submissions and are organized in topical sections covering Information and Network Security; Cloud, IoT and Distributed Computing; AI, Expert Systems and Big Data Analytics

Organizational Data Mining

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Publisher : IGI Global
ISBN 13 : 1591401356
Total Pages : 371 pages
Book Rating : 4.5/5 (914 download)

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Book Synopsis Organizational Data Mining by : Hamid R. Nemati

Download or read book Organizational Data Mining written by Hamid R. Nemati and published by IGI Global. This book was released on 2004-01-01 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mountains of business data are piling up in organizations every day. These organizations collect data from multiple sources, both internal and external. These sources include legacy systems, customer relationship management and enterprise resource planning applications, online and e-commerce systems, government organizations and business suppliers and partners. A recent study from the University of California at Berkeley found the amount of data organizations collect and store in enterprise databases doubles every year, and slightly more than half of this data will consist of "reference information," which is the kind of information strategic business applications and decision support systems demand (Kestelyn, 2002). Terabyte-sized (1,000 megabytes) databases are commonplace in organizations today, and this enormous growth will make petabyte-sized databases (1,000 terabytes) a reality within the next few years (Whiting, 2002). By 2004 the Gartner Group estimates worldwide data volumes will be 30 times those of 1999, which translates into more data having been produced in the last 30 years than during the previous 5,000 (Wurman, 1989).

A Practical Guide to Data Mining for Business and Industry

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Publisher : John Wiley & Sons
ISBN 13 : 1118763378
Total Pages : 323 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 323 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.

Data Mining for Business Analytics

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Publisher : John Wiley & Sons
ISBN 13 : 1118729137
Total Pages : 560 pages
Book Rating : 4.1/5 (187 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 2016-04-22 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner®, Third Edition presents an applied approach to data mining and predictive analytics with clear exposition, hands-on exercises, and real-life case studies. Readers will work with all of the standard data mining methods using the Microsoft® Office Excel® add-in XLMiner® to develop predictive models and learn how to obtain business value from Big Data. Featuring updated topical coverage on text mining, social network analysis, collaborative filtering, ensemble methods, uplift modeling and more, the Third Edition also includes: Real-world examples to build a theoretical and practical understanding of key data mining methods End-of-chapter exercises that help readers better understand the presented material Data-rich case studies to illustrate various applications of data mining techniques Completely new chapters on social network analysis and text mining A companion site with additional data sets, instructors material that include solutions to exercises and case studies, and Microsoft PowerPoint® slides https://www.dataminingbook.com Free 140-day license to use XLMiner for Education software Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner®, Third Edition is an ideal textbook for upper-undergraduate and graduate-level courses as well as professional programs on data mining, predictive modeling, and Big Data analytics. The new edition is also a unique reference for analysts, researchers, and practitioners working with predictive analytics in the fields of business, finance, marketing, computer science, and information technology. Praise for the Second Edition "…full of vivid and thought-provoking anecdotes... needs to be read by anyone with a serious interest in research and marketing."– Research Magazine "Shmueli et al. have done a wonderful job in presenting the field of data mining - a welcome addition to the literature." – ComputingReviews.com "Excellent choice for business analysts...The book is a perfect fit for its intended audience." – Keith McCormick, Consultant and Author of SPSS Statistics For Dummies, Third Edition and SPSS Statistics for Data Analysis and Visualization Galit Shmueli, PhD, is Distinguished Professor at National Tsing Hua University’s Institute of Service Science. She has designed and instructed data mining courses since 2004 at University of Maryland, Statistics.com, The Indian School of Business, and National Tsing Hua University, Taiwan. Professor Shmueli is known for her research and teaching in business analytics, with a focus on statistical and data mining methods in information systems and healthcare. She has authored over 70 journal articles, books, textbooks and book chapters. Peter C. Bruce is President and Founder of the Institute for Statistics Education at www.statistics.com. He has written multiple journal articles and is the developer of Resampling Stats software. He is the author of Introductory Statistics and Analytics: A Resampling Perspective, also published by Wiley. Nitin R. Patel, PhD, is Chairman and cofounder of Cytel, Inc., based in Cambridge, Massachusetts. A Fellow of the American Statistical Association, Dr. Patel has also served as a Visiting Professor at the Massachusetts Institute of Technology and at Harvard University. He is a Fellow of the Computer Society of India and was a professor at the Indian Institute of Management, Ahmedabad for 15 years.

Business Intelligence for Small and Medium-Sized Enterprises

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Publisher : CRC Press
ISBN 13 : 1000063879
Total Pages : 157 pages
Book Rating : 4.0/5 ( download)

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Book Synopsis Business Intelligence for Small and Medium-Sized Enterprises by : Lila Rao-Graham

Download or read book Business Intelligence for Small and Medium-Sized Enterprises written by Lila Rao-Graham and published by CRC Press. This book was released on 2019-07-11 with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt: Business intelligence (BI) has evolved over several years as organizations have extended their online transaction processing (OLTP) capabilities and applications to support their routine operations. With online analytical processing (OLAP), organizations have also established the capability to extract internal and external data from a variety of sources to specifically obtain intelligence about non-routine and often less-structured arrangements. BI therefore refers to applications and technologies that are used to gather, provide access to, and analyze data and information about the operations of an organization. It has the capability of providing comprehensive insight into the more volatile factors affecting the business and its operations, thereby facilitating enhanced decision-making quality and contributing to the creation of business value. Larger and more sophisticated organizations have long been exploiting these capabilities. Business Intelligence for Small and Medium-Sized Enterprises (SMEs) guides SMEs in replicating this experience to provide an agile roadmap toward business sustainability. The book points out that successful BI implementations have generated significant increases in revenue and cost savings, however, the failure rates are also very high. More importantly, it emphasizes that a full range of BI capabilities is not the exclusive purview of large organizations. It shows how SMEs make extensive use of BI techniques to develop the kind of agility endowing them with the organizational capability to sense and respond to opportunities and threats in an increasingly dynamic business environment. It points to the way to a market environment in which smaller organizations could have a larger role. In particular, the book explains that by establishing the agility to leverage internal and external data and information assets, SMEs can enhance their competitiveness by having a comprehensive understanding of the key to an agile roadmap for business sustainability.

Entrepreneurship and innovation in the age of digital transformation

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Publisher : Cognitione Foundation
ISBN 13 : 8395900651
Total Pages : 202 pages
Book Rating : 4.3/5 (959 download)

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Book Synopsis Entrepreneurship and innovation in the age of digital transformation by : Anna Ujwary-Gil

Download or read book Entrepreneurship and innovation in the age of digital transformation written by Anna Ujwary-Gil and published by Cognitione Foundation. This book was released on 2021-11-01 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: PURPOSE: Explore what entrepreneurship and success factors can help drive business to resilience and stability and achieve competitive advantage through innovation in different countries and business realities in the era of digital transformation and turbulent times. METHODOLOGY: Based on the narrative literature review, we present research findings concerning new strategies and outlooks for business innovation in times of many unknowns. Each organization wants to find its way to gain success and create its unique business model, which can capture value creation and innovativeness and be more adaptive, resilient, and stable in critical moments and sustainable over time. FINDINGS: The articles presented in this issue explore the essential factors of business innovation and success in different organizations and the environments in which these businesses function. IMPLICATIONS FOR THEORY AND PRACTICE: This article synthesizes the presented research field’s importance and relevance, connecting its theoretical background with practical research. Recommendations and implications for future trends of this research stream might also be helpful for professionals and academicians. ORIGINALITY AND VALUE: The novel studies presented in this issue were done in five different (developing and developed) countries and business sectors that present human-based and non-human-based factors as crucial factors needed to empower business transformation in a complex world. Each group of elements is essential in business success, and their components are interdependent. We need to look at the interactions and interdependencies of their components in a dynamic and network form and cannot simplify the reality, focusing only on one group of business components and ignoring the other. These unique studies provide a valuable outlook to establish dynamic, adaptive business pathways towards a sustainable and resilient organizational future and propose future research paths needed to execute structural changes in businesses. Keywords: business model, innovation, critical success factors, digital transformation, knowledge management, talent management, competitiveness, leadership, transformation, change management, VUCA Table of Contents Business innovation and critical success factors in the era of digital transformation and turbulent times 7 Anna Florek-Paszkowska, Anna Ujwary-Gil, Bianka Godlewska-Dzioboń Survival of the funded: Econometric analysis of startup longevity and success 29 Daniel Keogh, Daniel K.N. Johnson The use of process benchmarking in the water industry to introduce changes in the digitization of the company’s value chain 51 Natalia R. Potoczek Entrepreneurial self-efficacy and entrepreneurial intention: The mediating role of the need for independence 91 Victor Osadolor, Emmanuel K. Agbaeze, Ejikeme Emmanuel Isichei, Samuel Taiwo Olabosinde Application of knowledge management tools: Comparative analysis of small, medium, and large enterprises 121 Natalia Sytnik, Maryna Kravchenko Innovation among SMEs in Finland: The impact of stakeholder engagement and firm-level characteristics 157 Hannu Littunen, Timo Tohmo, Esa Storhammar

Handbook of Statistical Analysis and Data Mining Applications

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Publisher : Elsevier
ISBN 13 : 0124166458
Total Pages : 822 pages
Book Rating : 4.1/5 (241 download)

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Book Synopsis Handbook of Statistical Analysis and Data Mining Applications by : Robert Nisbet

Download or read book Handbook of Statistical Analysis and Data Mining Applications written by Robert Nisbet and published by Elsevier. This book was released on 2017-11-09 with total page 822 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

XML Data Mining: Models, Methods, and Applications

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Publisher : IGI Global
ISBN 13 : 1613503571
Total Pages : 538 pages
Book Rating : 4.6/5 (135 download)

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Book Synopsis XML Data Mining: Models, Methods, and Applications by : Tagarelli, Andrea

Download or read book XML Data Mining: Models, Methods, and Applications written by Tagarelli, Andrea and published by IGI Global. This book was released on 2011-11-30 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt: The widespread use of XML in business and scientific databases has prompted the development of methodologies, techniques, and systems for effectively managing and analyzing XML data. This has increasingly attracted the attention of different research communities, including database, information retrieval, pattern recognition, and machine learning, from which several proposals have been offered to address problems in XML data management and knowledge discovery. XML Data Mining: Models, Methods, and Applications aims to collect knowledge from experts of database, information retrieval, machine learning, and knowledge management communities in developing models, methods, and systems for XML data mining. This book addresses key issues and challenges in XML data mining, offering insights into the various existing solutions and best practices for modeling, processing, analyzing XML data, and for evaluating performance of XML data mining algorithms and systems.

Intelligent Decision Technologies 2017

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Publisher : Springer
ISBN 13 : 3319594249
Total Pages : 358 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Intelligent Decision Technologies 2017 by : Ireneusz Czarnowski

Download or read book Intelligent Decision Technologies 2017 written by Ireneusz Czarnowski and published by Springer. This book was released on 2017-05-24 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: The volume presents a collection of peer-reviewed articles from the 9th KES International Conference on Intelligent Decision Technologies (KES-IDT-17), held in Vilamoura, Algarve, Portugal on 21–23 June 2017. The conference addressed critical areas of computer science, as well as promoting knowledge transfer and the generation of new ideas in the field of intelligent decision making, project management and data analysis. The range of topics addressed includes methods of classification, prediction, data analysis, decision support, modeling, social media and many more in such diverse areas as finance, linguistics, management and transportation.