Recent Advances in Data Mining of Enterprise Data

Recent Advances in Data Mining of Enterprise Data
Author :
Publisher : World Scientific
Total Pages : 816
Release :
ISBN-10 : 9789812779861
ISBN-13 : 9812779868
Rating : 4/5 (61 Downloads)

Book Synopsis Recent Advances in Data Mining of Enterprise Data by : T. Warren Liao

Download or read book Recent Advances in Data Mining of Enterprise Data written by T. Warren Liao and published by World Scientific. This book was released on 2008-01-15 with total page 816 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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."


Recent Advances in Data Mining of Enterprise Data Related Books

Recent Advances in Data Mining of Enterprise Data
Language: en
Pages: 816
Authors: T. Warren Liao
Categories: Business & Economics
Type: BOOK - Published: 2008-01-15 - Publisher: World Scientific

DOWNLOAD EBOOK

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 indus
Organizational Data Mining
Language: en
Pages: 385
Authors: Hamid R. Nemati
Categories: Business & Economics
Type: BOOK - Published: 2004-01-01 - Publisher: IGI Global

DOWNLOAD EBOOK

Mountains of business data are piling up in organizations every day. These organizations collect data from multiple sources, both internal and external. These s
Recent Advancements in Multimedia Data Processing and Security: Issues, Challenges, and Techniques
Language: en
Pages: 307
Authors: Abd El-Latif, Ahmed A.
Categories: Computers
Type: BOOK - Published: 2023-09-28 - Publisher: IGI Global

DOWNLOAD EBOOK

In the age of social media dominance, a staggering amount of textual data floods our online spaces daily. While this wealth of information presents boundless op
Machine Learning and Data Mining in Pattern Recognition
Language: en
Pages: 548
Authors: Petra Perner
Categories: Computers
Type: BOOK - Published: 2014-07-17 - Publisher: Springer

DOWNLOAD EBOOK

This book constitutes the refereed proceedings of the 10th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2014, held
Robust Manufacturing Control
Language: en
Pages: 553
Authors: Katja Windt
Categories: Technology & Engineering
Type: BOOK - Published: 2012-12-14 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This contributed volume collects research papers, presented at the CIRP Sponsored Conference Robust Manufacturing Control: Innovative and Interdisciplinary Appr