Recent Advances In Data Mining Of Enterprise Data

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Recent Advances in Data Mining of Enterprise Data

T. Warren Liao,Evangelos Triantaphyllou
Recent Advances in Data Mining of Enterprise Data Book PDF

Author : T. Warren Liao,Evangelos Triantaphyllou
Publisher : World Scientific
Page : 816 pages
File Size : 40,9 Mb
Release : 2008-01-15
Category : Business & Economics
ISBN : 9789812779861

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Recent Advances in Data Mining of Enterprise Data by T. Warren Liao,Evangelos Triantaphyllou Pdf

The main goal of the new field of data mining is the analysis of large and complex datasets. Some very important datasets may be derived from business and industrial activities. This kind of data is known as OC enterprise dataOCO. The common characteristic of such datasets is that the analyst wishes to analyze them for the purpose of designing a more cost-effective strategy for optimizing some type of performance measure, such as reducing production time, improving quality, eliminating wastes, or maximizing profit. Data in this category may describe different scheduling scenarios in a manufacturing environment, quality control of some process, fault diagnosis in the operation of a machine or process, risk analysis when issuing credit to applicants, management of supply chains in a manufacturing system, or data for business related decision-making. Sample Chapter(s). Foreword (37 KB). Chapter 1: Enterprise Data Mining: A Review and Research Directions (655 KB). Contents: Enterprise Data Mining: A Review and Research Directions (T W Liao); Application and Comparison of Classification Techniques in Controlling Credit Risk (L Yu et al.); Predictive Classification with Imbalanced Enterprise Data (S Daskalaki et al.); Data Mining Applications of Process Platform Formation for High Variety Production (J Jiao & L Zhang); Multivariate Control Charts from a Data Mining Perspective (G C Porzio & G Ragozini); Maintenance Planning Using Enterprise Data Mining (L P Khoo et al.); Mining Images of Cell-Based Assays (P Perner); Support Vector Machines and Applications (T B Trafalis & O O Oladunni); A Survey of Manifold-Based Learning Methods (X Huo et al.); and other papers. Readership: Graduate students in engineering, computer science, and business schools; researchers and practioners of data mining with emphazis of enterprise data mining."

Exploring Advances in Interdisciplinary Data Mining and Analytics: New Trends

Taniar, David,Iwan, Lukman Hakim
Exploring Advances in Interdisciplinary Data Mining and Analytics New Trends Book PDF

Author : Taniar, David,Iwan, Lukman Hakim
Publisher : IGI Global
Page : 465 pages
File Size : 50,6 Mb
Release : 2011-12-31
Category : Computers
ISBN : 9781613504758

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Exploring Advances in Interdisciplinary Data Mining and Analytics: New Trends by Taniar, David,Iwan, Lukman Hakim Pdf

"This book is an updated look at the state of technology in the field of data mining and analytics offering the latest technological, analytical, ethical, and commercial perspectives on topics in data mining"--Provided by publisher.

Organizational Data Mining

Hamid R. Nemati,Christopher D. Barko
Organizational Data Mining Book PDF

Author : Hamid R. Nemati,Christopher D. Barko
Publisher : IGI Global
Page : 371 pages
File Size : 54,6 Mb
Release : 2004-01-01
Category : Business & Economics
ISBN : 9781591401353

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Organizational Data Mining by Hamid R. Nemati,Christopher D. Barko Pdf

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).

Enterprise Big Data Engineering, Analytics, and Management

Atzmueller, Martin
Enterprise Big Data Engineering Analytics and Management Book PDF

Author : Atzmueller, Martin
Publisher : IGI Global
Page : 272 pages
File Size : 49,9 Mb
Release : 2016-06-01
Category : Computers
ISBN : 9781522502944

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Enterprise Big Data Engineering, Analytics, and Management by Atzmueller, Martin Pdf

The significance of big data can be observed in any decision-making process as it is often used for forecasting and predictive analytics. Additionally, big data can be used to build a holistic view of an enterprise through a collection and analysis of large data sets retrospectively. As the data deluge deepens, new methods for analyzing, comprehending, and making use of big data become necessary. Enterprise Big Data Engineering, Analytics, and Management presents novel methodologies and practical approaches to engineering, managing, and analyzing large-scale data sets with a focus on enterprise applications and implementation. Featuring essential big data concepts including data mining, artificial intelligence, and information extraction, this publication provides a platform for retargeting the current research available in the field. Data analysts, IT professionals, researchers, and graduate-level students will find the timely research presented in this publication essential to furthering their knowledge in the field.

Smarter Data Science

Neal Fishman,Cole Stryker
Smarter Data Science Book PDF

Author : Neal Fishman,Cole Stryker
Publisher : John Wiley & Sons
Page : 374 pages
File Size : 47,7 Mb
Release : 2020-04-14
Category : Computers
ISBN : 9781119693420

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Smarter Data Science by Neal Fishman,Cole Stryker Pdf

Organizations can make data science a repeatable, predictable tool, which business professionals use to get more value from their data Enterprise data and AI projects are often scattershot, underbaked, siloed, and not adaptable to predictable business changes. As a result, the vast majority fail. These expensive quagmires can be avoided, and this book explains precisely how. Data science is emerging as a hands-on tool for not just data scientists, but business professionals as well. Managers, directors, IT leaders, and analysts must expand their use of data science capabilities for the organization to stay competitive. Smarter Data Science helps them achieve their enterprise-grade data projects and AI goals. It serves as a guide to building a robust and comprehensive information architecture program that enables sustainable and scalable AI deployments. When an organization manages its data effectively, its data science program becomes a fully scalable function that’s both prescriptive and repeatable. With an understanding of data science principles, practitioners are also empowered to lead their organizations in establishing and deploying viable AI. They employ the tools of machine learning, deep learning, and AI to extract greater value from data for the benefit of the enterprise. By following a ladder framework that promotes prescriptive capabilities, organizations can make data science accessible to a range of team members, democratizing data science throughout the organization. Companies that collect, organize, and analyze data can move forward to additional data science achievements: Improving time-to-value with infused AI models for common use cases Optimizing knowledge work and business processes Utilizing AI-based business intelligence and data visualization Establishing a data topology to support general or highly specialized needs Successfully completing AI projects in a predictable manner Coordinating the use of AI from any compute node. From inner edges to outer edges: cloud, fog, and mist computing When they climb the ladder presented in this book, businesspeople and data scientists alike will be able to improve and foster repeatable capabilities. They will have the knowledge to maximize their AI and data assets for the benefit of their organizations.

New Trends in Data Warehousing and Data Analysis

Stanislaw Kozielski,Robert Wrembel
New Trends in Data Warehousing and Data Analysis Book PDF

Author : Stanislaw Kozielski,Robert Wrembel
Publisher : Springer Science & Business Media
Page : 355 pages
File Size : 50,9 Mb
Release : 2008-10-23
Category : Business & Economics
ISBN : 9780387874319

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New Trends in Data Warehousing and Data Analysis by Stanislaw Kozielski,Robert Wrembel Pdf

Most of modern enterprises, institutions, and organizations rely on knowledge-based management systems. In these systems, knowledge is gained from data analysis. Today, knowledge-based management systems include data warehouses as their core components. Data integrated in a data warehouse are analyzed by the so-called On-Line Analytical Processing (OLAP) applications designed to discover trends, patterns of behavior, and anomalies as well as finding dependencies between data. Massive amounts of integrated data and the complexity of integrated data coming from many different sources make data integration and processing challenging. New Trends in Data Warehousing and Data Analysis brings together the most recent research and practical achievements in the DW and OLAP technologies. It provides an up-to-date bibliography of published works and the resource of research achievements. Finally, the book assists in the dissemination of knowledge in the field of advanced DW and OLAP.

Domain Driven Data Mining

Longbing Cao,Philip S. Yu,Chengqi Zhang,Yanchang Zhao
Domain Driven Data Mining Book PDF

Author : Longbing Cao,Philip S. Yu,Chengqi Zhang,Yanchang Zhao
Publisher : Springer Science & Business Media
Page : 251 pages
File Size : 45,5 Mb
Release : 2010-01-08
Category : Computers
ISBN : 9781441957375

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Domain Driven Data Mining by Longbing Cao,Philip S. Yu,Chengqi Zhang,Yanchang Zhao Pdf

This book offers state-of the-art research and development outcomes on methodologies, techniques, approaches and successful applications in domain driven, actionable knowledge discovery. It bridges the gap between business expectations and research output.

Foundations and Advances in Data Mining

Wesley Chu,Tsau Young Lin
Foundations and Advances in Data Mining Book PDF

Author : Wesley Chu,Tsau Young Lin
Publisher : Springer Science & Business Media
Page : 360 pages
File Size : 49,5 Mb
Release : 2005-09-15
Category : Computers
ISBN : 3540250573

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Foundations and Advances in Data Mining by Wesley Chu,Tsau Young Lin Pdf

With the growing use of information technology and the recent advances in web systems, the amount of data available to users has increased exponentially. Thus, there is a critical need to understand the content of the data. As a result, data-mining has become a popular research topic in recent years for the treatment of the "data rich and information poor" syndrome. In this carefully edited volume a theoretical foundation as well as important new directions for data-mining research are presented. It brings together a set of well respected data mining theoreticians and researchers with practical data mining experiences. The presented theories will give data mining practitioners a scientific perspective in data mining and thus provide more insight into their problems, and the provided new data mining topics can be expected to stimulate further research in these important directions.

Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence

Trivedi, Shrawan Kumar,Dey, Shubhamoy,Kumar, Anil,Panda, Tapan Kumar
Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence Book PDF

Author : Trivedi, Shrawan Kumar,Dey, Shubhamoy,Kumar, Anil,Panda, Tapan Kumar
Publisher : IGI Global
Page : 438 pages
File Size : 49,5 Mb
Release : 2017-02-14
Category : Computers
ISBN : 9781522520320

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Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence by Trivedi, Shrawan Kumar,Dey, Shubhamoy,Kumar, Anil,Panda, Tapan Kumar Pdf

The development of business intelligence has enhanced the visualization of data to inform and facilitate business management and strategizing. By implementing effective data-driven techniques, this allows for advance reporting tools to cater to company-specific issues and challenges. The Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence is a key resource on the latest advancements in business applications and the use of mining software solutions to achieve optimal decision-making and risk management results. Highlighting innovative studies on data warehousing, business activity monitoring, and text mining, this publication is an ideal reference source for research scholars, management faculty, and practitioners.

Predictive Analytics

Dursun Delen
Predictive Analytics Book PDF

Author : Dursun Delen
Publisher : FT Press
Page : 374 pages
File Size : 50,8 Mb
Release : 2020-12-15
Category : Business & Economics
ISBN : 9780135946435

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Predictive Analytics by Dursun Delen Pdf

Use Predictive Analytics to Uncover Hidden Patterns and Correlations and Improve Decision-Making Using predictive analytics techniques, decision-makers can uncover hidden patterns and correlations in their data and leverage these insights to improve many key business decisions. In this thoroughly updated guide, Dr. Dursun Delen illuminates state-of-the-art best practices for predictive analytics for both business professionals and students. Delen's holistic approach covers key data mining processes and methods, relevant data management techniques, tools and metrics, advanced text and web mining, big data integration, and much more. Balancing theory and practice, Delen presents intuitive conceptual illustrations, realistic example problems, and real-world case studies—including lessons from failed projects. It's all designed to help you gain a practical understanding you can apply for profit. * Leverage knowledge extracted via data mining to make smarter decisions * Use standardized processes and workflows to make more trustworthy predictions * Predict discrete outcomes (via classification), numeric values (via regression), and changes over time (via time-series forecasting) * Understand predictive algorithms drawn from traditional statistics and advanced machine learning * Discover cutting-edge techniques, and explore advanced applications ranging from sentiment analysis to fraud detection

Recent Advances in Information Systems and Technologies

Álvaro Rocha,Ana Maria Correia,Hojjat Adeli,Luís Paulo Reis,Sandra Costanzo
Recent Advances in Information Systems and Technologies Book PDF

Author : Álvaro Rocha,Ana Maria Correia,Hojjat Adeli,Luís Paulo Reis,Sandra Costanzo
Publisher : Springer
Page : 1054 pages
File Size : 43,9 Mb
Release : 2017-03-28
Category : Technology & Engineering
ISBN : 9783319565385

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Recent Advances in Information Systems and Technologies by Álvaro Rocha,Ana Maria Correia,Hojjat Adeli,Luís Paulo Reis,Sandra Costanzo Pdf

This book presents a selection of papers from the 2017 World Conference on Information Systems and Technologies (WorldCIST'17), held between the 11st and 13th of April 2017 at Porto Santo Island, Madeira, Portugal. WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences and challenges involved in modern Information Systems and Technologies research, together with technological developments and applications. The main topics covered are: Information and Knowledge Management; Organizational Models and Information Systems; Software and Systems Modeling; Software Systems, Architectures, Applications and Tools; Multimedia Systems and Applications; Computer Networks, Mobility and Pervasive Systems; Intelligent and Decision Support Systems; Big Data Analytics and Applications; Human–Computer Interaction; Ethics, Computers & Security; Health Informatics; Information Technologies in Education; and Information Technologies in Radiocommunications.

Data Mining for Business Applications

Longbing Cao,Philip S. Yu,Chengqi Zhang,Huaifeng Zhang
Data Mining for Business Applications Book PDF

Author : Longbing Cao,Philip S. Yu,Chengqi Zhang,Huaifeng Zhang
Publisher : Springer Science & Business Media
Page : 310 pages
File Size : 48,9 Mb
Release : 2008-10-03
Category : Computers
ISBN : 9780387794204

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Data Mining for Business Applications by Longbing Cao,Philip S. Yu,Chengqi Zhang,Huaifeng Zhang Pdf

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.

Effective Big Data Management and Opportunities for Implementation

Singh, Manoj Kumar,G., Dileep Kumar
Effective Big Data Management and Opportunities for Implementation Book PDF

Author : Singh, Manoj Kumar,G., Dileep Kumar
Publisher : IGI Global
Page : 324 pages
File Size : 45,6 Mb
Release : 2016-06-20
Category : Computers
ISBN : 9781522501831

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Effective Big Data Management and Opportunities for Implementation by Singh, Manoj Kumar,G., Dileep Kumar Pdf

“Big data” has become a commonly used term to describe large-scale and complex data sets which are difficult to manage and analyze using standard data management methodologies. With applications across sectors and fields of study, the implementation and possible uses of big data are limitless. Effective Big Data Management and Opportunities for Implementation explores emerging research on the ever-growing field of big data and facilitates further knowledge development on methods for handling and interpreting large data sets. Providing multi-disciplinary perspectives fueled by international research, this publication is designed for use by data analysts, IT professionals, researchers, and graduate-level students interested in learning about the latest trends and concepts in big data.

Data Mining for Business Applications

Longbing Cao,Philip S. Yu,Chengqi Zhang,Huaifeng Zhang
Data Mining for Business Applications Book PDF

Author : Longbing Cao,Philip S. Yu,Chengqi Zhang,Huaifeng Zhang
Publisher : Springer
Page : 302 pages
File Size : 54,9 Mb
Release : 2008-11-01
Category : Computers
ISBN : 0387571019

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Data Mining for Business Applications by Longbing Cao,Philip S. Yu,Chengqi Zhang,Huaifeng Zhang Pdf

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.

Real-World Data Mining

Dursun Delen
Real World Data Mining Book PDF

Author : Dursun Delen
Publisher : FT Press
Page : 289 pages
File Size : 44,8 Mb
Release : 2014-12-16
Category : Business & Economics
ISBN : 9780133551112

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Real-World Data Mining by Dursun Delen Pdf

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.