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This book is about inductive databases and constraint-based data mining, emerging research topics lying at the intersection of data mining and database research. The aim of the book as to provide an overview of the state-of- the art in this novel and - citing research area. Of special interest are the recent methods for constraint-based mining of global models for prediction and clustering, the uni?cation of pattern mining approaches through constraint programming, the clari?cation of the re- tionship between mining local patterns and global models, and the proposed in- grative frameworks and approaches for inducive databases. On the application side, applications to practically relevant pro...
Computational Intelligence (CI) has emerged as a rapidly growing field over the past decade. This volume reports the exploration of CI frontiers with an emphasis on a broad spectrum of real-world applications. Such a collection of chapters has presented the state-of-the-art of CI applications in industry and will be an essential resource for professionals and researchers who wish to learn and spot the opportunities in applying CI techniques to their particular problems.
EDBT 2000 is the seventh conference in a series dedicated to the advancement of database technology. This year’s conference special theme, \Connect Millions of Users and Data Sources," underscores the importance of databases for the information age that is dawning with the new millennium. The importance - rives not just from the observation that the information age essentially rests on theconvergenceofcommunications,computing,andstorage.Equallyimportant, many of the concepts and techniques underlying the success of databasesystems have independent meaning and impact for today’s distributed information s- tems. The papers in the volume should also be seen in this light. The EDBT 2000 conf...
The papers in this volume were presented at the International Conference on Database Theory, held in Berlin, Germany, October 14-16, 1992. This conference initiated the merger of two series of conferences on theoretical aspects of databases that were formed in parallel by different scientific communities in Europe. The first series was known as the International Conference on Database Theory and the second as the Symposium on Mathematical Fundamentals of Database Systems. In the future, ICDT will be organized every two years, alternating with the more practically oriented series of conferences on Extending Database Technology (EDBT). The volume contains 3 invited lectures and 26 contributed papers selected from a total of 107 submissions. The papers are organized into sections on constraints and decomposition, query languages, updates and active databases, concurrency control and recovery, knowledge bases, datalog complexity and optimization, object orientation, information capacity and security, and data structures and algorithms. Two of the invited papers survey research into theoretical database issues done in Eastern Europe during the past decade.
Data mining from traditional relational databases as well as from non-traditional ones such as semi-structured data, Web data, and scientific databases housing biological, linguistic, and sensor data has recently become a popular way of discovering hidden knowledge. This book on database support for data mining is developed to approaches exploiting the available database technology, declarative data mining, intelligent querying, and associated issues, such as optimization, indexing, query processing, languages, and constraints. Attention is also paid to the solution of data preprocessing problems, such as data cleaning, discretization, and sampling. The 16 reviewed full papers presented were carefully selected from various workshops and conferences to provide complete and competent coverage of the core issues. Some papers were developed within an EC funded project on discovering knowledge with inductive queries.
Master Microsoft's Business Intelligence Tools Building Integrated Business Intelligence Solutions with SQL Server 2008 R2 & Office 2010 explains how to take full advantage of Microsoft's collaborative business intelligence (BI) tools. A variety of powerful, flexible technologies are covered, including SQL Server Analysis Services (SSAS), Excel, Excel Services, PowerPivot, SQL Server Integration Services (SSIS), Server Reporting Services (SSRS), SharePoint Server 2010, PerformancePoint Services, and Master Data Services. This practical guide focuses on deveoloping end-to-end BI solutions that foster informed decision making. Create a multidimensional store for aggregating business data with ...
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