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Data Virtualization for Business Intelligence Systems

Data Virtualization for Business Intelligence Systems
Revolutionizing Data Integration for Data Warehouses

by Rick F. van der Lans

  • Publisher : Elsevier
  • Release : 2012
  • Pages : 275
  • ISBN : 0123944252
  • Language : En, Es, Fr & De
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Annotation In this book, Rick van der Lans explains how data virtualization servers work, what techniques to use to optimize access to various data sources and how these products can be applied in different projects.

Analysis of Data Virtualization and Enterprise Data Standardization in Business Intelligence

Analysis of Data Virtualization and Enterprise Data Standardization in Business Intelligence
A Book

by Laijo John Pullokkaran,Massachusetts Institute of Technology. Engineering Systems Division,System Design and Management Program

  • Publisher : Unknown Publisher
  • Release : 2013
  • Pages : 59
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Business Intelligence is an essential tool used by enterprises for strategic, tactical and operational decision making. Business Intelligence most often needs to correlate data from disparate data sources to derive insights. Unifying data from disparate data sources and providing a unifying view of data is generally known as data integration. Traditionally enterprises employed ETL and data warehouses for data integration. However in last few years a technology known as "Data Virtualization" has found some acceptance as an alternative data integration solution. "Data Virtualization" is a federated database termed as composite database by McLeod/Heimbigner's in 1985. Till few years back Data Virtualization weren't considered as an alternative for ETL but was rather thought of as a technology for niche integration challenges. In this paper we hypothesize that for many BI applications "data virtualization" is a better cost effective data integration strategy. We analyze the system architecture of "Data warehouse" and "Data Virtualization" solutions. We further employ System Dynamics Model to compare few key metrics like "Time to Market" and "Cost of "Data warehouse" and "Data Virtualization" solutions. We also look at the impact of "Enterprise Data Standardization" on data integration.

It's All Analytics - Part II

It's All Analytics - Part II
Designing an Integrated AI, Analytics, and Data Science Architecture for Your Organization

by Scott Burk,David Sweenor,Gary Miner

  • Publisher : CRC Press
  • Release : 2021-09-28
  • Pages : 296
  • ISBN : 1000433986
  • Language : En, Es, Fr & De
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Up to 70% and even more of corporate Analytics Efforts fail!!! Even after these corporations have made very large investments, in time, talent, and money, in developing what they thought were good data and analytics programs. Why? Because the executives and decision makers and the entire analytics team have not considered the most important aspect of making these analytics efforts successful. In this Book II of "It’s All Analytics!" series, we describe two primary things: 1) What this "most important aspect" consists of, and 2) How to get this "most important aspect" at the center of the analytics effort and thus make your analytics program successful. This Book II in the series is divided into three main parts: Part I, Organizational Design for Success, discusses ....... The need for a complete company / organizational Alignment of the entire company and its analytics team for making its analytics successful. This means attention to the culture – the company culture culture!!! To be successful, the CEO’s and Decision Makers of a company / organization must be fully cognizant of the cultural focus on ‘establishing a center of excellence in analytics’. Simply, "culture – company culture" is the most important aspect of a successful analytics program. The focus must be on innovation, as this is needed by the analytics team to develop successful algorithms that will lead to greater company efficiency and increased profits. Part II, Data Design for Success, discusses ..... Data is the cornerstone of success with analytics. You can have the best analytics algorithms and models available, but if you do not have good data, efforts will at best be mediocre if not a complete failure. This Part II also goes further into data with descriptions of things like Volatile Data Memory Storage and Non-Volatile Data Memory Storage, in addition to things like data structures and data formats, plus considering things like Cluster Computing, Data Swamps, Muddy Data, Data Marts, Enterprise Data Warehouse, Data Reservoirs, and Analytic Sandboxes, and additionally Data Virtualization, Curated Data, Purchased Data, Nascent & Future Data, Supplemental Data, Meaningful Data, GIS (Geographic Information Systems) & Geo Analytics Data, Graph Databases, and Time Series Databases. Part II also considers Data Governance including Data Integrity, Data Security, Data Consistency, Data Confidence, Data Leakage, Data Distribution, and Data Literacy. Part III, Analytics Technology Design for Success, discusses .... Analytics Maturity and aspects of this maturity, like Exploratory Data Analysis, Data Preparation, Feature Engineering, Building Models, Model Evaluation, Model Selection, and Model Deployment. Part III also goes into the nuts and bolts of modern predictive analytics, discussing such terms as AI = Artificial Intelligence, Machine Learning, Deep Learning, and the more traditional aspects of analytics that feed into modern analytics like Statistics, Forecasting, Optimization, and Simulation. Part III also goes into how to Communicate and Act upon Analytics, which includes building a successful Analytics Culture within your company / organization. All-in-all, if your company or organization needs to be successful using analytics, this book will give you the basics of what you need to know to make it happen.

Business Intelligence for Small and Medium-Sized Enterprises

Business Intelligence for Small and Medium-Sized Enterprises
An Agile Roadmap toward Business Sustainability

by Lila Rao-Graham,Maurice L. McNaughton,Gunjan Mansingh

  • Publisher : CRC Press
  • Release : 2019-07-11
  • Pages : 150
  • ISBN : 1000063879
  • Language : En, Es, Fr & De
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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.

Recent Advances in Information Systems and Technologies

Recent Advances in Information Systems and Technologies
Volume 1

by Álvaro Rocha,Ana Maria Correia,Hojjat Adeli,Luís Paulo Reis,Sandra Costanzo

  • Publisher : Springer
  • Release : 2017-03-27
  • Pages : 930
  • ISBN : 3319565354
  • Language : En, Es, Fr & De
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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.

Open Source Data Warehousing and Business Intelligence

Open Source Data Warehousing and Business Intelligence
A Book

by Lakshman Bulusu

  • Publisher : CRC Press
  • Release : 2012-08-06
  • Pages : 432
  • ISBN : 1439816409
  • Language : En, Es, Fr & De
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Open Source Data Warehousing and Business Intelligence is an all-in-one reference for developing open source based data warehousing (DW) and business intelligence (BI) solutions that are business-centric, cross-customer viable, cross-functional, cross-technology based, and enterprise-wide. Considering the entire lifecycle of an open source DW & BI implementation, its comprehensive coverage spans from basic concepts all the way through to customization. Highlighting the key differences between open source and vendor DW and BI technologies, the book identifies end-to-end solutions that are scalable, high performance, and stable. It illustrates the practical aspects of implementing and using open source DW and BI technologies to supply you with valuable on-the-project experience that can help you improve implementation and productivity. Emphasizing analysis, design, and programming, the text explains best-fit solutions as well as how to maximize ROI. Coverage includes data warehouse design, real-time processing, data integration, presentation services, and real-time reporting. With a focus on real-world applications, the author devotes an entire section to powerful implementation best practices that can help you build customer confidence while saving valuable time, effort, and resources.

Open and Big Data Management and Innovation

Open and Big Data Management and Innovation
14th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2015, Delft, The Netherlands, October 13-15, 2015, Proceedings

by Marijn Janssen,Matti Mäntymäki,Jan Hidders,Bram Klievink,Winfried Lamersdorf,Bastiaan van Loenen,Anneke Zuiderwijk

  • Publisher : Springer
  • Release : 2015-10-08
  • Pages : 514
  • ISBN : 3319250132
  • Language : En, Es, Fr & De
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This book constitutes the refereed conference proceedings of the 14th IFIP WG 6.11 Conference on e-Business, e-Services and e-Society, I3E 2015, held in Delft, The Netherlands, in October 2015. The 40 revised full papers presented together with 1 keynote panel were carefully reviewed and selected from 65 submissions. They are organized in the following topical sections: adoption; big and open data; e-business, e-services,, and e-society; and witness workshop.

Digital Services and Information Intelligence

Digital Services and Information Intelligence
13th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2014, Sanya, China, November 28-30, 2014, Proceedings

by Hongxiu Li,Matti Mäntymäki,Xianfeng Zhang

  • Publisher : Springer
  • Release : 2014-11-22
  • Pages : 359
  • ISBN : 3662455269
  • Language : En, Es, Fr & De
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This book constitutes the refereed conference proceedings of the 13th IFIP WG 6.11 Conference on e-Business, e-Services and e-Society, I3E 2014, held in Sanya, China, in November 2014. The 32 revised full papers presented were carefully reviewed and selected from 42 submissions. They are organized in the following topical sections: digital services, digital society, and digital business.

Patterns of Information Management

Patterns of Information Management
A Book

by Mandy Chessell,Harald Smith

  • Publisher : IBM Press
  • Release : 2013-05-02
  • Pages : 736
  • ISBN : 0133155528
  • Language : En, Es, Fr & De
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Use Best Practice Patterns to Understand and Architect Manageable, Efficient Information Supply Chains That Help You Leverage All Your Data and Knowledge In the era of “Big Data,” information pervades every aspect of the organization. Therefore, architecting and managing it is a multi-disciplinary task. Now, two pioneering IBM® architects present proven architecture patterns that fully reflect this reality. Using their pattern language, you can accurately characterize the information issues associated with your own systems, and design solutions that succeed over both the short- and long-term. Building on the analogy of a supply chain, Mandy Chessell and Harald C. Smith explain how information can be transformed, enriched, reconciled, redistributed, and utilized in even the most complex environments. Through a realistic, end-to-end case study, they help you blend overlapping information management, SOA, and BPM technologies that are often viewed as competitive. Using this book’s patterns, you can integrate all levels of your architecture–from holistic, enterprise, system-level views down to low-level design elements. You can fully address key non-functional requirements such as the amount, quality, and pace of incoming data. Above all, you can create an IT landscape that is coherent, interconnected, efficient, effective, and manageable. Coverage Includes Understanding how a pattern language can help you address key information management challenges Defining information strategy and governance for organizations and users Creating orderly information flows you can reuse and synchronize as needed Managing information structure, meaning, and lifecycles Providing for efficient information access and storage when deploying new IT capabilities Moving information efficiently and reliably to support your processes Determining how information should be processed and maintained Improving quality and accessibility, and supporting higher-value analytics Protecting information via validation, transformation, enrichment, correction, security, and monitoring Planning new information management projects in the context of your existing IT resources

Silverlight 4 Business Intelligence Software

Silverlight 4 Business Intelligence Software
A Book

by Bart Czernicki

  • Publisher : Apress
  • Release : 2011-01-27
  • Pages : 576
  • ISBN : 1430230614
  • Language : En, Es, Fr & De
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Business intelligence (BI) software allows you to view different components of a business using a single visual platform, which makes comprehending mountains of data easier. BI is everywhere. Applications that include reports, analytics, statistics, and historical and predictive modeling are all examples of business intelligence. Currently, we are in the second generation of business intelligence software—called BI 2.0—which is focused on writing business intelligence software that is predictive, adaptive, simple, and interactive. As computers and software have evolved, more data can be presented to end users with increasingly visually rich techniques. Rich Internet application (RIA) technologies such as Microsoft Silverlight can be used to transform traditional user-interfaces filled with boring data into fully interactive analytical applications that quickly deliver insight from large data sets. Furthermore, RIAs now include 3D spatial-design capabilities that move beyond a simple list or grid and allow for interesting layouts of aggregated data. BI 2.0 implemented via an RIA technology can truly bring out the power of business intelligence and deliver it to an average user on the Web. Silverlight 4 Business Intelligence Software provides developers, designers, and architects with a solid foundation in business intelligence design and architecture concepts for Microsoft Silverlight. This book covers key business intelligence design concepts and how they can be applied without an existing BI infrastructure. Author Bart Czernicki provides you with examples of how to build small BI applications that are interactive, highly visual, statistical, predictive—and most importantly—intuitive to the end-user. Business intelligence isn’t just for the executive branch of a Fortune 500 company—it is for the masses. Let Silverlight 4 Business Intelligence Software show you how to unlock the rich intelligence you already have.

Database Systems for Advanced Applications

Database Systems for Advanced Applications
25th International Conference, DASFAA 2020, Jeju, South Korea, September 24–27, 2020, Proceedings, Part III

by Yunmook Nah,Bin Cui,Sang-Won Lee,Jeffrey Xu Yu,Yang-Sae Moon,Steven Euijong Whang

  • Publisher : Springer Nature
  • Release : 2020-09-21
  • Pages : 805
  • ISBN : 303059419X
  • Language : En, Es, Fr & De
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The 4 volume set LNCS 12112-12114 constitutes the papers of the 25th International Conference on Database Systems for Advanced Applications which will be held online in September 2020. The 119 full papers presented together with 19 short papers plus 15 demo papers and 4 industrial papers in this volume were carefully reviewed and selected from a total of 487 submissions. The conference program presents the state-of-the-art R&D activities in database systems and their applications. It provides a forum for technical presentations and discussions among database researchers, developers and users from academia, business and industry.

Navigating the Labyrinth

Navigating the Labyrinth
An Executive Guide to Data Management

by Laura Sebastian-Coleman

  • Publisher : Technics Publications
  • Release : 2018-05-09
  • Pages : 208
  • ISBN : 1634623770
  • Language : En, Es, Fr & De
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An Executive Guide to Data Management

Managing Data in Motion

Managing Data in Motion
Data Integration Best Practice Techniques and Technologies

by April Reeve

  • Publisher : Newnes
  • Release : 2013-02-26
  • Pages : 204
  • ISBN : 0123977916
  • Language : En, Es, Fr & De
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Managing Data in Motion describes techniques that have been developed for significantly reducing the complexity of managing system interfaces and enabling scalable architectures. Author April Reeve brings over two decades of experience to present a vendor-neutral approach to moving data between computing environments and systems. Readers will learn the techniques, technologies, and best practices for managing the passage of data between computer systems and integrating disparate data together in an enterprise environment. The average enterprise's computing environment is comprised of hundreds to thousands computer systems that have been built, purchased, and acquired over time. The data from these various systems needs to be integrated for reporting and analysis, shared for business transaction processing, and converted from one format to another when old systems are replaced and new systems are acquired. The management of the "data in motion" in organizations is rapidly becoming one of the biggest concerns for business and IT management. Data warehousing and conversion, real-time data integration, and cloud and "big data" applications are just a few of the challenges facing organizations and businesses today. Managing Data in Motion tackles these and other topics in a style easily understood by business and IT managers as well as programmers and architects. Presents a vendor-neutral overview of the different technologies and techniques for moving data between computer systems including the emerging solutions for unstructured as well as structured data types Explains, in non-technical terms, the architecture and components required to perform data integration Describes how to reduce the complexity of managing system interfaces and enable a scalable data architecture that can handle the dimensions of "Big Data"

Agile Data Warehousing for the Enterprise

Agile Data Warehousing for the Enterprise
A Guide for Solution Architects and Project Leaders

by Ralph Hughes

  • Publisher : Newnes
  • Release : 2015-09-19
  • Pages : 562
  • ISBN : 0123965187
  • Language : En, Es, Fr & De
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Building upon his earlier book that detailed agile data warehousing programming techniques for the Scrum master, Ralph's latest work illustrates the agile interpretations of the remaining software engineering disciplines: Requirements management benefits from streamlined templates that not only define projects quickly, but ensure nothing essential is overlooked. Data engineering receives two new "hyper modeling" techniques, yielding data warehouses that can be easily adapted when requirements change without having to invest in ruinously expensive data-conversion programs. Quality assurance advances with not only a stereoscopic top-down and bottom-up planning method, but also the incorporation of the latest in automated test engines. Use this step-by-step guide to deepen your own application development skills through self-study, show your teammates the world's fastest and most reliable techniques for creating business intelligence systems, or ensure that the IT department working for you is building your next decision support system the right way. Learn how to quickly define scope and architecture before programming starts Includes techniques of process and data engineering that enable iterative and incremental delivery Demonstrates how to plan and execute quality assurance plans and includes a guide to continuous integration and automated regression testing Presents program management strategies for coordinating multiple agile data mart projects so that over time an enterprise data warehouse emerges Use the provided 120-day road map to establish a robust, agile data warehousing program

Data Management: a gentle introduction

Data Management: a gentle introduction
Balancing theory and practice

by Bas van Gils

  • Publisher : Van Haren
  • Release : 2020-03-03
  • Pages : 306
  • ISBN : 9401805555
  • Language : En, Es, Fr & De
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The overall objective of this book is to show that data management is an exciting and valuable capability that is worth time and effort. More specifically it aims to achieve the following goals: 1. To give a “gentle” introduction to the field of DM by explaining and illustrating its core concepts, based on a mix of theory, practical frameworks such as TOGAF, ArchiMate, and DMBOK, as well as results from real-world assignments. 2. To offer guidance on how to build an effective DM capability in an organization.This is illustrated by various use cases, linked to the previously mentioned theoretical exploration as well as the stories of practitioners in the field. The primary target groups are: busy professionals who “are actively involved with managing data”. The book is also aimed at (Bachelor’s/ Master’s) students with an interest in data management. The book is industry-agnostic and should be applicable in different industries such as government, finance, telecommunications etc. Typical roles for which this book is intended: data governance office/ council, data owners, data stewards, people involved with data governance (data governance board), enterprise architects, data architects, process managers, business analysts and IT analysts. The book is divided into three main parts: theory, practice, and closing remarks. Furthermore, the chapters are as short and to the point as possible and also make a clear distinction between the main text and the examples. If the reader is already familiar with the topic of a chapter, he/she can easily skip it and move on to the next.

Enabling Health Informatics Applications

Enabling Health Informatics Applications
A Book

by J. Mantas,A. Hasman,M.S. Househ

  • Publisher : IOS Press
  • Release : 2015-07-24
  • Pages : 320
  • ISBN : 1614995389
  • Language : En, Es, Fr & De
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Informatics and technology have long been indispensable to the provision of healthcare and their importance continues to grow in this field. This book presents the 65 full papers presented at the 13th annual International Conference on Informatics, Management, and Technology in Healthcare (ICIMTH 2015), held in Athens, Greece, in July 2015. The conference attracts scientists and practitioners from all continents and treats the field of biomedical informatics in a very broad framework, examining the research and applications outcomes of informatics from cell to population, and covering a number of technologies such as imaging, sensors and biomedical equipment as well as management and organizational subjects such as legal and social issues. The conference also aims to set research priorities in health informatics. This overview of current research and development will be of interest to all those whose work involves the use of biomedical informatics in the planning, provision and management of healthcare.

Business Architecture Management

Business Architecture Management
Architecting the Business for Consistency and Alignment

by Daniel Simon,Christian Schmidt

  • Publisher : Springer
  • Release : 2015-04-22
  • Pages : 304
  • ISBN : 3319145711
  • Language : En, Es, Fr & De
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This book presents a comprehensive overview of enterprise architecture management with a specific focus on the business aspects. While recent approaches to enterprise architecture management have dealt mainly with aspects of information technology, this book covers all areas of business architecture from business motivation and models to business execution. The book provides examples of how architectural thinking can be applied in these areas, thus combining different perspectives into a consistent whole. In-depth experiences from end-user organizations help readers to understand the abstract concepts of business architecture management and to form blueprints for their own professional approach. Business architecture professionals, researchers, and others working in the field of strategic business management will benefit from this comprehensive volume and its hands-on examples of successful business architecture management practices. ​

Real-Time Business Intelligence and Analytics

Real-Time Business Intelligence and Analytics
International Workshops, BIRTE 2015, Kohala Coast, HI, USA, August 31, 2015, BIRTE 2016, New Delhi, India, September 5, 2016, BIRTE 2017, Munich, Germany, August 28, 2017, Revised Selected Papers

by Malu Castellanos,Panos K. Chrysanthis,Konstantinos Pelechrinis

  • Publisher : Springer Nature
  • Release : 2019-10-10
  • Pages : 230
  • ISBN : 3030241246
  • Language : En, Es, Fr & De
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This book constitutes the thoroughly refereed conference proceedings of the BIRTE workshops listed below, which were held in in conjunction with VLDB, the International Conference on Very Large Data Bases: 9th International Workshop on Business Intelligence for the Real-Time Enterprise, BIRTE 2015, held in Kohala Coast, Hawaii, in August 2015, 10th International Workshop on Enabling Real-Time Business Intelligence, BIRTE 2016, held in New Delhi, India, in September 2016, 11th International Workshop on Real-Time Business Intelligence and Analytics, BIRTE 2017, held in Munich, Germany, in August 2017. The BIRTE workshop series provides a forum for the discussion and advancement of the science and engineering enabling real-time business intelligence and the novel applications that build on these foundational techniques. The book includes five selected papers from BIRTE 2015; five selected papers from BIRTE 2016; and three selected papers from BIRTE 2017.

SQL Server Big Data Clusters

SQL Server Big Data Clusters
Data Virtualization, Data Lake, and AI Platform

by Benjamin Weissman,Enrico van de Laar

  • Publisher : Apress
  • Release : 2020-05-23
  • Pages : 260
  • ISBN : 1484259858
  • Language : En, Es, Fr & De
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Use this guide to one of SQL Server 2019’s most impactful features—Big Data Clusters. You will learn about data virtualization and data lakes for this complete artificial intelligence (AI) and machine learning (ML) platform within the SQL Server database engine. You will know how to use Big Data Clusters to combine large volumes of streaming data for analysis along with data stored in a traditional database. For example, you can stream large volumes of data from Apache Spark in real time while executing Transact-SQL queries to bring in relevant additional data from your corporate, SQL Server database. Filled with clear examples and use cases, this book provides everything necessary to get started working with Big Data Clusters in SQL Server 2019. You will learn about the architectural foundations that are made up from Kubernetes, Spark, HDFS, and SQL Server on Linux. You then are shown how to configure and deploy Big Data Clusters in on-premises environments or in the cloud. Next, you are taught about querying. You will learn to write queries in Transact-SQL—taking advantage of skills you have honed for years—and with those queries you will be able to examine and analyze data from a wide variety of sources such as Apache Spark. Through the theoretical foundation provided in this book and easy-to-follow example scripts and notebooks, you will be ready to use and unveil the full potential of SQL Server 2019: combining different types of data spread across widely disparate sources into a single view that is useful for business intelligence and machine learning analysis. What You Will Learn Install, manage, and troubleshoot Big Data Clusters in cloud or on-premise environments Analyze large volumes of data directly from SQL Server and/or Apache Spark Manage data stored in HDFS from SQL Server as if it were relational data Implement advanced analytics solutions through machine learning and AI Expose different data sources as a single logical source using data virtualization Who This Book Is For Data engineers, data scientists, data architects, and database administrators who want to employ data virtualization and big data analytics in their environments

Web Data Mining and the Development of Knowledge-Based Decision Support Systems

Web Data Mining and the Development of Knowledge-Based Decision Support Systems
A Book

by Sreedhar, G.

  • Publisher : IGI Global
  • Release : 2016-12-21
  • Pages : 409
  • ISBN : 1522518789
  • Language : En, Es, Fr & De
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Websites are a central part of today’s business world; however, with the vast amount of information that constantly changes and the frequency of required updates, this can come at a high cost to modern businesses. Web Data Mining and the Development of Knowledge-Based Decision Support Systems is a key reference source on decision support systems in view of end user accessibility and identifies methods for extraction and analysis of useful information from web documents. Featuring extensive coverage across a range of relevant perspectives and topics, such as semantic web, machine learning, and expert systems, this book is ideally designed for web developers, internet users, online application developers, researchers, and faculty.