Improving Knowledge Discovery through the Integration of Data Mining Techniques

Improving Knowledge Discovery through the Integration of Data Mining Techniques PDF Author: Usman, Muhammad
Publisher: IGI Global
ISBN: 146668514X
Category : Computers
Languages : en
Pages : 392

Get Book

Book Description
Data warehousing is an important topic that is of interest to both the industry and the knowledge engineering research communities. Both data mining and data warehousing technologies have similar objectives and can potentially benefit from each other’s methods to facilitate knowledge discovery. Improving Knowledge Discovery through the Integration of Data Mining Techniques provides insight concerning the integration of data mining and data warehousing for enhancing the knowledge discovery process. Decision makers, academicians, researchers, advanced-level students, technology developers, and business intelligence professionals will find this book useful in furthering their research exposure to relevant topics in knowledge discovery.

Improving Knowledge Discovery through the Integration of Data Mining Techniques

Improving Knowledge Discovery through the Integration of Data Mining Techniques PDF Author: Usman, Muhammad
Publisher: IGI Global
ISBN: 146668514X
Category : Computers
Languages : en
Pages : 392

Get Book

Book Description
Data warehousing is an important topic that is of interest to both the industry and the knowledge engineering research communities. Both data mining and data warehousing technologies have similar objectives and can potentially benefit from each other’s methods to facilitate knowledge discovery. Improving Knowledge Discovery through the Integration of Data Mining Techniques provides insight concerning the integration of data mining and data warehousing for enhancing the knowledge discovery process. Decision makers, academicians, researchers, advanced-level students, technology developers, and business intelligence professionals will find this book useful in furthering their research exposure to relevant topics in knowledge discovery.

Improving Knowledge Discovery Through the Integration of Data Mining Techniques

Improving Knowledge Discovery Through the Integration of Data Mining Techniques PDF Author:
Publisher:
ISBN: 9781466685154
Category : Data mining
Languages : en
Pages : 0

Get Book

Book Description
"This book provides insight concerning the integration of data mining and data warehousing for enhancing the knowledge discovery process"--

Integration of Data Mining in Business Intelligence Systems

Integration of Data Mining in Business Intelligence Systems PDF Author: Azevedo, Ana
Publisher: IGI Global
ISBN: 1466664789
Category : Computers
Languages : en
Pages : 314

Get Book

Book Description
Uncovering and analyzing data associated with the current business environment is essential in maintaining a competitive edge. As such, making informed decisions based on this data is crucial to managers across industries. Integration of Data Mining in Business Intelligence Systems investigates the incorporation of data mining into business technologies used in the decision making process. Emphasizing cutting-edge research and relevant concepts in data discovery and analysis, this book is a comprehensive reference source for policymakers, academicians, researchers, students, technology developers, and professionals interested in the application of data mining techniques and practices in business information systems.

The Data Bonanza

The Data Bonanza PDF Author: Malcolm Atkinson
Publisher: John Wiley & Sons
ISBN: 1118540301
Category : Computers
Languages : en
Pages : 423

Get Book

Book Description
Complete guidance for mastering the tools and techniques of the digital revolution With the digital revolution opening up tremendous opportunities in many fields, there is a growing need for skilled professionals who can develop data-intensive systems and extract information and knowledge from them. This book frames for the first time a new systematic approach for tackling the challenges of data-intensive computing, providing decision makers and technical experts alike with practical tools for dealing with our exploding data collections. Emphasizing data-intensive thinking and interdisciplinary collaboration, The Data Bonanza: Improving Knowledge Discovery in Science, Engineering, and Business examines the essential components of knowledge discovery, surveys many of the current research efforts worldwide, and points to new areas for innovation. Complete with a wealth of examples and DISPEL-based methods demonstrating how to gain more from data in real-world systems, the book: Outlines the concepts and rationale for implementing data-intensive computing in organizations Covers from the ground up problem-solving strategies for data analysis in a data-rich world Introduces techniques for data-intensive engineering using the Data-Intensive Systems Process Engineering Language DISPEL Features in-depth case studies in customer relations, environmental hazards, seismology, and more Showcases successful applications in areas ranging from astronomy and the humanities to transport engineering Includes sample program snippets throughout the text as well as additional materials on a companion website The Data Bonanza is a must-have guide for information strategists, data analysts, and engineers in business, research, and government, and for anyone wishing to be on the cutting edge of data mining, machine learning, databases, distributed systems, or large-scale computing.

Data Mining with Ontologies: Implementations, Findings, and Frameworks

Data Mining with Ontologies: Implementations, Findings, and Frameworks PDF Author: Nigro, Hector Oscar
Publisher: IGI Global
ISBN: 1599046202
Category : Computers
Languages : en
Pages : 312

Get Book

Book Description
"Prior knowledge in data mining is helpful for selecting suitable data and mining techniques, pruning the space of hypothesis, representing the output in a comprehensible way, and improving the overall method. This book examines methodologies and research for the development of ontological foundations for data mining to enhance the ability of ontology utilization and design"--Provided by publisher.

Knowledge Discovery Practices and Emerging Applications of Data Mining: Trends and New Domains

Knowledge Discovery Practices and Emerging Applications of Data Mining: Trends and New Domains PDF Author: Kumar, A.V. Senthil
Publisher: IGI Global
ISBN: 160960069X
Category : Computers
Languages : en
Pages : 414

Get Book

Book Description
Knowledge Discovery Practices and Emerging Applications of Data Mining: Trends and New Domains introduces the reader to recent research activities in the field of data mining. This book covers association mining, classification, mobile marketing, opinion mining, microarray data mining, internet mining and applications of data mining on biological data, telecommunication and distributed databases, among others, while promoting understanding and implementation of data mining techniques in emerging domains.

Data Mining and Knowledge Discovery for Big Data

Data Mining and Knowledge Discovery for Big Data PDF Author: Wesley W. Chu
Publisher: Springer Science & Business Media
ISBN: 3642408370
Category : Technology & Engineering
Languages : en
Pages : 311

Get Book

Book Description
The field of data mining has made significant and far-reaching advances over the past three decades. Because of its potential power for solving complex problems, data mining has been successfully applied to diverse areas such as business, engineering, social media, and biological science. Many of these applications search for patterns in complex structural information. In biomedicine for example, modeling complex biological systems requires linking knowledge across many levels of science, from genes to disease. Further, the data characteristics of the problems have also grown from static to dynamic and spatiotemporal, complete to incomplete, and centralized to distributed, and grow in their scope and size (this is known as big data). The effective integration of big data for decision-making also requires privacy preservation. The contributions to this monograph summarize the advances of data mining in the respective fields. This volume consists of nine chapters that address subjects ranging from mining data from opinion, spatiotemporal databases, discriminative subgraph patterns, path knowledge discovery, social media, and privacy issues to the subject of computation reduction via binary matrix factorization.

Knowledge Discovery and Data Mining

Knowledge Discovery and Data Mining PDF Author: Honghua Tan
Publisher: Springer Science & Business Media
ISBN: 364227708X
Category : Technology & Engineering
Languages : en
Pages : 798

Get Book

Book Description
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.

Advances in Knowledge Discovery and Data Mining

Advances in Knowledge Discovery and Data Mining PDF Author: David Cheung
Publisher: Springer Science & Business Media
ISBN: 3540260765
Category : Computers
Languages : en
Pages : 885

Get Book

Book Description
This book constitutes the refereed proceedings of the 9th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2005, held in Hanoi, Vietnam, in May 2005. The 48 revised full papers and 49 revised short papers presented together with abstracts or extended abstracts of 3 invited talks were carefully reviewed and selected from 327 submissions. The papers are organized in topical sections on theoretical foundations, association rules, biomedical domains, classification and ranking, clustering, dynamic data mining, graphical model discovery, high dimensional data, integration of data warehousing, knowledge management, machine learning, novel algorithms, spatial data, temporal data, and text and Web data mining.

Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications

Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications PDF Author: Management Association, Information Resources
Publisher: IGI Global
ISBN: 1522551921
Category : Computers
Languages : en
Pages : 2336

Get Book

Book Description
With the increased use of technology in modern society, high volumes of multimedia information exists. It is important for businesses, organizations, and individuals to understand how to optimize this data and new methods are emerging for more efficient information management and retrieval. Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications is an innovative reference source for the latest academic material in the field of information and communication technologies and explores how complex information systems interact with and affect one another. Highlighting a range of topics such as knowledge discovery, semantic web, and information resources management, this multi-volume book is ideally designed for researchers, developers, managers, strategic planners, and advanced-level students.