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Exploiting the Power of Group Differences
This book presents pattern-based problem-solving methods for a variety of machine learning and data analysis problems. The methods are all based on techniques that exploit the power of group differences. They make use of group differences represented using emerging patterns (aka contrast patterns), which are patterns that match significantly different numbers of instances in different data groups. A large number of applications outside of the computing discipline are also included. Emerging patterns (EPs) are useful in many ways. EPs can be used as features, as simple classifiers, as subpopulation signatures/characterizations, and as triggering conditions for alerts. EPs can be used in gene ...
Sequence Data Mining
Understanding sequence data, and the ability to utilize this hidden knowledge, will create a significant impact on many aspects of our society. Examples of sequence data include DNA, protein, customer purchase history, web surfing history, and more. This book provides thorough coverage of the existing results on sequence data mining as well as pattern types and associated pattern mining methods. It offers balanced coverage on data mining and sequence data analysis, allowing readers to access the state-of-the-art results in one place.
Advances in Computing Science - ASIAN 2000
The Asian Computing Science Conference (ASIAN) series was initiated in 1995 to provide a forum for researchers in computer science in Asia to meet and to promote interaction with researchers from other regions. The previous ?ve conferences were held, respectively, in Bangkok, Singapore, Kathmandu, Manila, and Phuket. The proceedings were published in the Lecture Notes in Computer Science Series of Springer-Verlag. This year’s conference (ASIAN2000) attracted 61 submissions from which 18 papers were selected through an electronic program committee (PC) meeting. The themes for this year’s conference are: – Logics in Computer Science – Data Mining – Networks and Performance The key no...
Post-Mining of Association Rules: Techniques for Effective Knowledge Extraction
Provides a systematic collection on post-mining, summarization and presentation of association rules, and new forms of association rules.
AI 2003: Advances in Artificial Intelligence
Consider the problem of a robot (algorithm, learning mechanism) moving along the real line attempting to locate a particular point ? . To assist the me- anism, we assume that it can communicate with an Environment (“Oracle”) which guides it with information regarding the direction in which it should go. If the Environment is deterministic the problem is the “Deterministic Point - cation Problem” which has been studied rather thoroughly [1]. In its pioneering version [1] the problem was presented in the setting that the Environment could charge the robot a cost which was proportional to the distance it was from the point sought for. The question of having multiple communicating robots...
Database Theory - ICDT'99
Databaseresearchisa?eldofcomputersciencewheretheorymeetsapplications. Many concepts and methods, that were regarded as issues of theoretical interest when initially proposed, are now included in implemented database systems and related products. Examples abound in the ?elds of database design, query languages, query optimization, concurrency control, statistical databases, and many others. The papers contained in this volume were presented at ICDT’99, the 7th - ternationalConferenceonDatabaseTheory,inJerusalem,Israel,January10–12, 1999. ICDT is an international forum for research on the principles of database systems. It is a biennial conference, and has a tradition of being held in beau...
Knowledge Science, Engineering and Management
Here are the refereed proceedings of the First International Conference on Knowledge Science, Engineering and Management, KSEM 2006, held in Guilin, China in August 2006 in conjunction with PRICAI 2006. The book presents 51 revised full papers and 57 revised short papers together with 4 invited talks, reporting a wealth of new ideas and current research results in the broad areas of knowledge science, knowledge engineering, and knowledge management.
New Trends in Data Warehousing and Data Analysis
Most of modern enterprises, institutions, and organizations rely on knowledge-based management systems. In these systems, knowledge is gained from data analysis. Today, knowledge-based management systems include data warehouses as their core components. Data integrated in a data warehouse are analyzed by the so-called On-Line Analytical Processing (OLAP) applications designed to discover trends, patterns of behavior, and anomalies as well as finding dependencies between data. Massive amounts of integrated data and the complexity of integrated data coming from many different sources make data integration and processing challenging. New Trends in Data Warehousing and Data Analysis brings together the most recent research and practical achievements in the DW and OLAP technologies. It provides an up-to-date bibliography of published works and the resource of research achievements. Finally, the book assists in the dissemination of knowledge in the field of advanced DW and OLAP.
Web Technologies and Applications
This book constitutes the refereed proceedings of the 5th Asia-Pacific Web Conference, APWeb 2003, held in Xian, China in April 2003.The 39 revised full papers and 16 short papers presented together with two invitednbsp; papers were carefully reviewed and selected from a total of 136 submissions. The papers are organized in topical sections on XML and database design; efficient XML data management; XML transformation; Web mining; Web clustering, ranking, and profiling; payment and security; Web application architectures; advanced applications; Web multimedia; network protocols; workflow management systems; advanced search; and data allocation and replication.
Specification Case Studies in RAISE
This volume presents twelve case studies that use RAISE - Rigorous Approach to Industrial Software Engineering - to construct, analyse, develop and apply formal specifications. The case studies cover a wide range of application areas including government finance, case-based reasoning, multi-language text processing, object-oriented design patterns, component-based software design and natural resource management. By illustrating the variety of uses of formal specifications, the case studies also raise questions about the creation, purpose and scope of formal models before they are built. Additional resources and complete specifications for all of the case studies and the RAISE tools used to process them, are available on the World Wide Web. This book will be of particular interest to software engineers, especially those responsible for the initial stages of requirements engineering and software architecture and design. It will also be of interest to academics and students on advanced formal methods courses.
