Data Rich and Information Poor
Author: Blue Ribbon Panel on Natural Resource Inventory and Performance Measurement
Publisher:
Published: 1995
Total Pages: 40
ISBN-13:
DOWNLOAD EBOOK →Author: Blue Ribbon Panel on Natural Resource Inventory and Performance Measurement
Publisher:
Published: 1995
Total Pages: 40
ISBN-13:
DOWNLOAD EBOOK →Author: Jiawei Han
Publisher: Elsevier
Published: 2006-04-06
Total Pages: 800
ISBN-13: 9780080475585
DOWNLOAD EBOOK →Our ability to generate and collect data has been increasing rapidly. Not only are all of our business, scientific, and government transactions now computerized, but the widespread use of digital cameras, publication tools, and bar codes also generate data. On the collection side, scanned text and image platforms, satellite remote sensing systems, and the World Wide Web have flooded us with a tremendous amount of data. This explosive growth has generated an even more urgent need for new techniques and automated tools that can help us transform this data into useful information and knowledge. Like the first edition, voted the most popular data mining book by KD Nuggets readers, this book explores concepts and techniques for the discovery of patterns hidden in large data sets, focusing on issues relating to their feasibility, usefulness, effectiveness, and scalability. However, since the publication of the first edition, great progress has been made in the development of new data mining methods, systems, and applications. This new edition substantially enhances the first edition, and new chapters have been added to address recent developments on mining complex types of data— including stream data, sequence data, graph structured data, social network data, and multi-relational data. A comprehensive, practical look at the concepts and techniques you need to know to get the most out of real business data Updates that incorporate input from readers, changes in the field, and more material on statistics and machine learning Dozens of algorithms and implementation examples, all in easily understood pseudo-code and suitable for use in real-world, large-scale data mining projects Complete classroom support for instructors at www.mkp.com/datamining2e companion site
Author: S. Sumathi
Publisher: Springer Science & Business Media
Published: 2006-09-26
Total Pages: 836
ISBN-13: 3540343504
DOWNLOAD EBOOK →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.
Author: Information Resources Management Association. International Conference
Publisher: IGI Global
Published: 1995-01-01
Total Pages: 470
ISBN-13: 9781878289315
DOWNLOAD EBOOK →Advances of information and communications technologies have created new forces in managing organizations. These forces are leading modern organizations to reassess their current structures to become more effective in the growing global economy. This Proceedings is aimed at the challenges involved in effective utilization and management of technologies in contemporary organizations.
Author: Luis M. Camarinha-Matos
Publisher: Springer
Published: 2017-09-06
Total Pages: 764
ISBN-13: 331965151X
DOWNLOAD EBOOK →This book constitutes the refereed proceedings of the 18th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2017, held in Vicenza, Italy, in September 2017. The 68 revised full papers were carefully reviewed and selected from 159 submissions. They provide a comprehensive overview of identified challenges and recent advances in various collaborative network (CN) domains and their applications, with a strong focus on the following areas: collaborative models, platforms and systems for data-rich worlds; manufacturing ecosystem and collaboration in Industry 4.0; big data analytics and intelligence; risk, performance, and uncertainty in collaborative data-rich systems; semantic data/service discovery, retrieval, and composition in a collaborative data-rich world; trust and sustainability analysis in collaborative networks; value creation and social impact of collaboration in data-rich worlds; technology development platforms supporting collaborative systems; collective intelligence and collaboration in advanced/emerging applications: collaborative manufacturing and factories of the future, e-health and care, food and agribusiness, and crisis/disaster management.
Author: Frans Cruijssen
Publisher: Springer Nature
Published: 2020-09-23
Total Pages: 159
ISBN-13: 3030570932
DOWNLOAD EBOOK →This book examines cross-chain control centers (4C), an ambitious concept in supply chain management and logistics that is intended to foster collaboration between different supply chains to increase efficiency. It provides an overview of the main results, insights, and other developments in the academic field of horizontal collaboration. Furthermore, it gives recommendations to governments, commercial companies, and academia on how to proceed with horizontal logistics collaboration in the years to come. To link research with practice, the book takes the Dutch project on cross-chain collaboration centers (4Cs) and identifies a typology of existing patterns for horizontal collaboration in supply chains. Finally, the book zooms in on the Netherlands as a case-study of intense public-private partnerships to develop 4C as a mature logistics value proposition. It provides an overview of the accomplishments in the government supported 4C projects and offers a critical reflection of why some more ambitious and structural solutions have not found solid ground yet. The book is of value to researchers and professionals in the supply chain domain.
Author: Eduardo Rodriguez
Publisher: Academic Conferences Limited
Published: 2014-09-10
Total Pages: 203
ISBN-13: 1910309486
DOWNLOAD EBOOK →Author: Trevor Haywood
Publisher:
Published: 1995
Total Pages: 296
ISBN-13:
DOWNLOAD EBOOK →Analyses the world as an information system. Explores the problems, iniquities and problems arising from our information society. Covers industrialisation, copyright, information exchange, information in a cultural context, the knowledge chain.
Author: BALTZAN
Publisher: McGraw Hill
Published: 2017-01-16
Total Pages: 609
ISBN-13: 1526821478
DOWNLOAD EBOOK →E-Book Business Driven Technology
Author: Krish Krishnan
Publisher: Academic Press
Published: 2019-11-15
Total Pages: 242
ISBN-13: 0128158042
DOWNLOAD EBOOK →Building Big Data Applications helps data managers and their organizations make the most of unstructured data with an existing data warehouse. It provides readers with what they need to know to make sense of how Big Data fits into the world of Data Warehousing. Readers will learn about infrastructure options and integration and come away with a solid understanding on how to leverage various architectures for integration. The book includes a wide range of use cases that will help data managers visualize reference architectures in the context of specific industries (healthcare, big oil, transportation, software, etc.). Explores various ways to leverage Big Data by effectively integrating it into the data warehouse Includes real-world case studies which clearly demonstrate Big Data technologies Provides insights on how to optimize current data warehouse infrastructure and integrate newer infrastructure matching data processing workloads and requirements