Information Integration And Web Intelligence

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Information Integration And Web Intelligence

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Author : Pari Delir Haghighi
language : en
Publisher: Springer Nature
Release Date : 2023-11-22

Information Integration And Web Intelligence written by Pari Delir Haghighi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-22 with Computers categories.

This book constitutes the refereed conference proceedings of the 25th International Conference on Information Integration and Web Intelligence, iiWAS 2023, organized in conjunction with the 21st International Conference on Advances in Mobile Computing and Multimedia Intelligence, MoMM2023, held in Denpasar, Bali, Indonesia, during December 4-6, 2023. The 24 full papers and 24 short papers presented in this book were carefully reviewed and selected from 96 submissions. The papers are divided into the following topical sections: business data and applications; data management; deep and machine Learning; generative AI; image data and knowledge graph; recommendation systems; similarity measure and metric; and topic and text matching.

Information Integration And Web Intelligence

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Author : Eric Pardede
language : en
Publisher: Springer Nature
Release Date : 2022-11-19

Information Integration And Web Intelligence written by Eric Pardede and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-19 with Computers categories.

This volume includes the papers presented at the 24th International Conference on Information Integration and Web Intelligence (iiWAS 2022), organized in conjunction with 24th International Conference on Advances in Mobile Computing & Multimedia Intelligence (MoMM2022). ​The dominant research focus of submitted papers was artificial intelligence and machine learning. The accepted papers presented advances and innovations in an array of areas such as internet of things, virtual and augmented reality, various business applications. iiWAS 2022 attracted 97 papers, from which the Program Committee selected 26 regular papers and 25 short papers. Due to safety concerns as well as other restrictions preventing travel and gatherings, it was decided to organize iiWAS 2022 as a virtual conference.

Information Integration And Web Intelligence

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Author : Eric Pardede
language : en
Publisher:
Release Date : 2022

Information Integration And Web Intelligence written by Eric Pardede and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with Artificial intelligence categories.

This volume includes the papers presented at the 24th International Conference on Information Integration and Web Intelligence (iiWAS 2022), organized in conjunction with 24th International Conference on Advances in Mobile Computing & Multimedia Intelligence (MoMM2022). The dominant research focus of submitted papers was artificial intelligence and machine learning. The accepted papers presented advances and innovations in an array of areas such as internet of things, virtual and augmented reality, various business applications. iiWAS 2022 attracted 97 papers, from which the Program Committee selected 26 regular papers and 25 short papers. Due to safety concerns as well as other restrictions preventing travel and gatherings, it was decided to organize iiWAS 2022 as a virtual conference.

Web Intelligence

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Author : Ning Zhong
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-29

Web Intelligence written by Ning Zhong and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-29 with Computers categories.

This excellently written monograph provides – for the first time ever - a thorough introduction and systematic overview of all aspects of intelligent data processing on the Web. It presents both the current state of research as well as application aspects. All major topics related to Web Intelligence which can have impact on future directions and developments are presented in detail. This book will be a valuable source of reference for years to all research and development professionals interested in Web Intelligence. Students will also appreciate the numerous illustrations and examples.

Data Virtualization For Business Intelligence Systems

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Author : Rick van der Lans
language : en
Publisher: Elsevier
Release Date : 2012-07-25

Data Virtualization For Business Intelligence Systems written by Rick van der Lans and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-07-25 with Computers categories.

Data virtualization can help you accomplish your goals with more flexibility and agility. Learn what it is and how and why it should be used with Data Virtualization for Business Intelligence Systems. In this book, expert author 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. You’ll learn the difference is between this new form of data integration and older forms, such as ETL and replication, and gain a clear understanding of how data virtualization really works. Data Virtualization for Business Intelligence Systems outlines the advantages and disadvantages of data virtualization and illustrates how data virtualization should be applied in data warehouse environments. You’ll come away with a comprehensive understanding of how data virtualization will make data warehouse environments more flexible and how it make developing operational BI applications easier. Van der Lans also describes the relationship between data virtualization and related topics, such as master data management, governance, and information management, so you come away with a big-picture understanding as well as all the practical know-how you need to virtualize your data. First independent book on data virtualization that explains in a product-independent way how data virtualization technology works. Illustrates concepts using examples developed with commercially available products. Shows you how to solve common data integration challenges such as data quality, system interference, and overall performance by following practical guidelines on using data virtualization. Apply data virtualization right away with three chapters full of practical implementation guidance. Understand the big picture of data virtualization and its relationship with data governance and information management.

Business Intelligence

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Author : Rajiv Sabherwal
language : en
Publisher: John Wiley & Sons
Release Date : 2013-02-19

Business Intelligence written by Rajiv Sabherwal and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-02-19 with Computers categories.

Business professionals who want to advance their careers need to have a strong understanding of how to utilize business intelligence. This new book provides a comprehensive introduction to the basic business and technical concepts they’ll need to know. It integrates case studies that demonstrate how to apply the material. Business professionals will also find suggested further readings that will develop their knowledge and help them succeed.

Integration Of Data Mining In Business Intelligence Systems

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Author : Azevedo, Ana
language : en
Publisher: IGI Global
Release Date : 2014-09-30

Integration Of Data Mining In Business Intelligence Systems written by Azevedo, Ana and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-30 with Computers categories.

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.

Sap Businessobjects Web Intelligence

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Author : Jim Brogden
language : en
Publisher: SAP PRESS
Release Date : 2012

Sap Businessobjects Web Intelligence written by Jim Brogden and has been published by SAP PRESS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Business intelligence categories.

Now is the time to master SAP BusinessObjects Web Intelligence, the industry's most powerful business intelligence reporting tool. This comprehensive guide will help you build a foundational understanding of Web Intelligence, and then teach you to create, analyze, and share enterprise-wide reports. Covering important reporting concepts and addressing topics new to version 4.0, this book will give you the information you need to revolutionize data presentation with SAP BusinessObjects Web Intelligence. 1 Introducing Web Intelligence 4.0Begin sharing business insights using the newest features, including an improved charting engine for data visualization, new chart types, and enhanced drill-down. 2 User Interface EnhancementsView, publish, and distribute business intelligence content using the BI Launch Pad, the web portal formerly known as InfoView. 3 BI Mobile CoverageLearn how to make important business content available to report users on the go, and apply best practices for on-device mobile analytics. 4 Web Intelligence Rich ClientNavigate this desktop application to effectively write and consume reports without connecting to the Central Management Server. 5 Real-World ApplicationTake advantage of practical, step-by-step instructions for creating the most powerful business-relevant queries and reports. Highlights: include Web Intelligence 4.0 queries and reports Query and Report Panels Report tools, charts, and formatting On-device mobile integration Web Intelligence Rich Client Multiple data sources Analysis and drill-down BI workspaces Report scheduling and distribution New data visualization features Feature Pack 3 (Service Pack 4) enhancements

Perspectives On Business Intelligence

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Author : Raymond T. Ng
language : en
Publisher: Springer Nature
Release Date : 2022-05-31

Perspectives On Business Intelligence written by Raymond T. Ng and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Computers categories.

In the 1980s, traditional Business Intelligence (BI) systems focused on the delivery of reports that describe the state of business activities in the past, such as for questions like "How did our sales perform during the last quarter?" A decade later, there was a shift to more interactive content that presented how the business was performing at the present time, answering questions like "How are we doing right now?" Today the focus of BI users are looking into the future. "Given what I did before and how I am currently doing this quarter, how will I do next quarter?" Furthermore, fuelled by the demands of Big Data, BI systems are going through a time of incredible change. Predictive analytics, high volume data, unstructured data, social data, mobile, consumable analytics, and data visualization are all examples of demands and capabilities that have become critical within just the past few years, and are growing at an unprecedented pace. This book introduces research problems and solutions on various aspects central to next-generation BI systems. It begins with a chapter on an industry perspective on how BI has evolved, and discusses how game-changing trends have drastically reshaped the landscape of BI. One of the game changers is the shift toward the consumerization of BI tools. As a result, for BI tools to be successfully used by business users (rather than IT departments), the tools need a business model, rather than a data model. One chapter of the book surveys four different types of business modeling. However, even with the existence of a business model for users to express queries, the data that can meet the needs are still captured within a data model. The next chapter on vivification addresses the problem of closing the gap, which is often significant, between the business and the data models. Moreover, Big Data forces BI systems to integrate and consolidate multiple, and often wildly different, data sources. One chapter gives an overview of several integration architectures for dealing with the challenges that need to be overcome. While the book so far focuses on the usual structured relational data, the remaining chapters turn to unstructured data, an ever-increasing and important component of Big Data. One chapter on information extraction describes methods for dealing with the extraction of relations from free text and the web. Finally, BI users need tools to visualize and interpret new and complex types of information in a way that is compelling, intuitive, but accurate. The last chapter gives an overview of information visualization for decision support and text.

Integration Challenges For Analytics Business Intelligence And Data Mining

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Author : Azevedo, Ana
language : en
Publisher: IGI Global
Release Date : 2020-12-11

Integration Challenges For Analytics Business Intelligence And Data Mining written by Azevedo, Ana and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-11 with Computers categories.

As technology continues to advance, it is critical for businesses to implement systems that can support the transformation of data into information that is crucial for the success of the company. Without the integration of data (both structured and unstructured) mining in business intelligence systems, invaluable knowledge is lost. However, there are currently many different models and approaches that must be explored to determine the best method of integration. Integration Challenges for Analytics, Business Intelligence, and Data Mining is a relevant academic book that provides empirical research findings on increasing the understanding of using data mining in the context of business intelligence and analytics systems. Covering topics that include big data, artificial intelligence, and decision making, this book is an ideal reference source for professionals working in the areas of data mining, business intelligence, and analytics; data scientists; IT specialists; managers; researchers; academicians; practitioners; and graduate students.