Business Intelligence
eBook - PDF

Business Intelligence

Solution for Business Development

  1. 120 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Business Intelligence

Solution for Business Development

About this book

The work addresses to specialists in informatics, with preoccupations in development of Business Intelligence systems, and also to beneficiaries of such systems, constituting an important scientific contribution. Experts in the field contribute with new ideas and concepts regarding the development of Business Intelligence applications and their adoption in organizations. This book presents both an overview of Business Intelligence and an in-depth analysis of current applications and future directions for this technology. The book covers a large area, including methods, concepts, and case studies related to: constructing an enterprise business intelligence maturity model, developing an agile architecture framework that leverages the strengths of business intelligence, decision management and service orientation, adding semantics to Business Intelligence, towards business intelligence over unified structured and unstructured data using XML, density-based clustering and anomaly detection, data mining based on neural networks.

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Yes, you can access Business Intelligence by Marinela Mircea in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Business Intelligence - Solution for Business Development
  2. Contents
  3. Preface
  4. Chapter 1 Construct an Enterprise Business Intelligence Maturity Model (EBI2M) Using an Integration Approach: A Conceptual Framework
  5. Chapter 2 An Agile Architecture Framework that Leverages the Strengths of Business Intelligence, Decision Management and Service Orientation
  6. Chapter 3 Adding Semantics to Business Intelligence: Towards a Smarter Generation of Analytical Tools
  7. Chapter 4 Towards Business Intelligence over Unified Structured and Unstructured Data Using XML
  8. Chapter 5 Density-Based Clustering and Anomaly Detection
  9. Chapter 6 Data Mining Based on Neural Networks for Gridded Rainfall Forecasting