Artificial Intelligence and Data Mining for Mergers and Acquisitions
by Debasis Chanda
The goal of this book is to present a modeling framework for the Virtual Organization that is focused on process composition. This framework uses Predicate Calculus Knowledge Bases. Petri Net-based modeling is also discussed. In this context, a Data Mining model is proposed, using a fuzzy mathematical approach, aiming to discover knowledge. A Knowledge-Based framework has been proposed in order to present an all-inclusive knowledge store for static and dynamic properties. Toward this direction,...
Data Warehousing and Knowledge Discovery (Information Systems and Applications, incl. Internet/Web, and HCI, #8646)
This book constitutes the refereed proceedings of the 15th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2013 held in Prague, Czech Republic, in August 2013. The 24 revised full papers and 8 short papers presented were carefully reviewed and selected from 89 submissions. The papers are organized in topical sections on modeling and ETL, query optimization and parallelism, spatial data warehouses and applications, text mining and OLAP, recommendation and prediction,...
Educational practices and techniques are seemingly endless due to classroom integration and use of distance learning programs and technologies. With the eyes of academic communities looking towards these advanced learning integrations to take education into the future, knowledge on recent developments and practical solutions to educational problems are pertinent to educators of the 21st century. ""The Encyclopedia of Distance Learning, Second Edition"" encompasses the latest concepts, trends, is...
Knowledge Technology (Communications in Computer and Information Science, #295)
This book constitutes the refereed proceedings of the Third Knowledge Technology Week, KTW 2011, held in Kajang, Malaysia, in July 2011. The 29 revised full papers presented together with 9 short papers were carefully reviewed and selected from 105 submissions. KTW 2011 consisted of a number of co-located events. This volume contains selected papers from the proceedings of the Third Malaysian Joint Conference on Artificial Intelligence (MJCAI 2011), the Third Semantic Technology and Knowledge En...
Essentials of Pattern Mining (Synthesis Lectures on Data Mining and Knowledge Discovery)
by Siegfried Nijssen, Albrecht Zimmermann, and Luc De Raedt
Knowledge Discovery from Databases (KDD) and Data Mining (DM) are general terms for a research area that deals with constructing models from data for predictive, descriptive, or summarizing purposes. Existing text books provide a broad overview of these problems and usually devote most attention to topics such as clustering and classification. Their discussions of pattern mining are often restricted to the basics of itemset mining and association rule discovery.However, pattern mining is more th...
Mathematical Programming in Machine Learning (Springer Optimization and Its Applications, #808)
by O. Erhun Kundakcioglu and Panos M. Pardalos
There have been dramatic improvements in the algorithms and techniques used in machine learning over the last twenty years. Numerous methods have been developed that utilize mathematical programming techniques that are well known to operations researchers. Because understanding of the fundamentals of mathematical programming is essential for theoretical computer scientists, this book intends to provide this audience a strong introduction to the analysis and mathematical programming techniques us...
Graph-Based Clustering and Data Visualization Algorithms (SpringerBriefs in Computer Science)
by Agnes Vathy-Fogarassy and Janos Abonyi
This work presents a data visualization technique that combines graph-based topology representation and dimensionality reduction methods to visualize the intrinsic data structure in a low-dimensional vector space. The application of graphs in clustering and visualization has several advantages. A graph of important edges (where edges characterize relations and weights represent similarities or distances) provides a compact representation of the entire complex data set. This text describes cluste...
Data Mining and Applications in Genomics (Lecture Notes in Electrical Engineering, #25)
by Sio-Iong Ao
Soft Computing for Image and Multimedia Data Processing
by Siddhartha Bhattacharyya and Ujjwal Maulik
Proper analysis of image and multimedia data requires efficient extraction and segmentation techniques. Among the many computational intelligence approaches, the soft computing paradigm is best equipped with several tools and techniques that incorporate intelligent concepts and principles. This book is dedicated to object extraction, image segmentation, and edge detection using soft computing techniques with extensive real-life application to image and multimedia data. The authors start wit...
Building Sustainable Information Systems
​Information Systems (IS) as a discipline draws on diverse areas including, technology, organisational theory, management and social science. The field is recognized as very broad and encompassing many themes and areas. However, the development of artefacts, or information systems development (ISD), in the broadest sense, is a central concern of the discipline. Significantly, ISD impacts on the organisational and societal contexts through the use of the artefacts constructed by the development....
Managing and Mining Graph Data is a comprehensive survey book in graph management and mining. It contains extensive surveys on a variety of important graph topics such as graph languages, indexing, clustering, data generation, pattern mining, classification, keyword search, pattern matching, and privacy. It also studies a number of domain-specific scenarios such as stream mining, web graphs, social networks, chemical and biological data. The chapters are written by well known researchers in the...
Statistical Modeling and Analysis for Database Marketing
by Ratner Bruce
No Stress Tech Guide To Crystal Reports For Visual Studio 2005 For Beginners
by Indera Murphy
Knowledge Visualization Currents
This text reviews the evolution of the field of visualization, providing innovative examples from various disciplines, highlighting the important role that visualization plays in extracting and organizing the concepts found in complex data. Features: presents a thorough introduction to the discipline of knowledge visualization, its current state of affairs and possible future developments; examines how tables have been used for information visualization in historical textual documents; discusses...
Advances in Intelligent Systems and Computing V (Advances in Intelligent Systems and Computing, #1293)
This book reports on new theories and applications in the field of intelligent systems and computing. It covers cutting-edge computational and artificial intelligence methods, advances in computer vision, big data, cloud computing, and computation linguistics, as well as cyber-physical and intelligent information management systems. The respective chapters are based on selected papers presented at the workshop on intelligent systems and computing, held during the International Conference on Comp...
This book constitutes the refereed proceedings of the First International Conference on Data Warehousing and Knowledge Discovery, DaWaK'99, held in Florence, Italy in August/September 1999. The 31 revised full papers and nine short papers presented were carefully reviewed and selected from 88 submissions. The book is divided in topical sections on data warehouse design; online analytical processing; view synthesis, selection, and optimization; multidimensional databases; knowledge discovery; ass...
Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today. Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides...
This book brings together aspects of statistics and machine learning to provide a comprehensive guide to evaluating, interpreting and understanding biometric data. It naturally leads to topics including data mining and prediction to be examined in detail. The book places an emphasis on the various performance measures available for biometric systems, what they mean, and when they should and should not be applied. The evaluation techniques are presented rigorously, however they are always accompa...
Introduction to Privacy-Preserving Data Publishing (Chapman & Hall/CRC Data Mining and Knowledge Discovery, #17)
by Benjamin C M Fung, Ke Wang, Ada Wai-Chee Fu, and Philip S. Yu
Gaining access to high-quality data is a vital necessity in knowledge-based decision making. But data in its raw form often contains sensitive information about individuals. Providing solutions to this problem, the methods and tools of privacy-preserving data publishing enable the publication of useful information while protecting data privacy. Int
Advanced Topics in Information Resources Management, Volume 2 (Advances in Information Resources Management)
Annotation Advanced Topics in Information Resources Management features the latest research findings dealing with all aspects of information resources management, managerial and organizational applications, as well as implications of information technology organizations. It aims to be instrumental in the improvement and development of the theory and practice of information resources management, appealing to both practicing managers and academics.
Apache Drill is a significant new tool in the Hadoop ecosystem that enables users to execute queries in a Hadoop cluster and get results quickly. This practical book provides a first touch introduction to Drill and its ability to handle large files containing data in flexible formats with nested data structures and tables. Developers and analysts with moderate technical skills will learn the basics of installing and running Drill, and advanced users will understand how incorporate the framework...
Proceedings of the Sixth International Conference on Intelligent System and Knowledge Engineering presents selected papers from the conference ISKE 2011, held December 15-17 in Shanghai, China. This proceedings doesn't only examine original research and approaches in the broad areas of intelligent systems and knowledge engineering, but also present new methodologies and practices in intelligent computing paradigms. The book introduces the current scientific and technical advances in the fields o...
Data Stewardship for Open Science: Implementing FAIR Principles has been written with the intention of making scientists, funders, and innovators in all disciplines and stages of their professional activities broadly aware of the need, complexity, and challenges associated with open science, modern science communication, and data stewardship. The FAIR principles are used as a guide throughout the text, and this book should leave experimentalists consciously incompetent about data stewardship and...