Download or read book Uncertainty Handling and Quality Assessment in Data Mining written by Michalis Vazirgiannis and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: The recent explosive growth of our ability to generate and store data has created a need for new, scalable and efficient, tools for data analysis. The main focus of the discipline of knowledge discovery in databases is to address this need. Knowledge discovery in databases is the fusion of many areas that are concerned with different aspects of data handling and data analysis, including databases, machine learning, statistics, and algorithms. Each of these areas addresses a different part of the problem, and places different emphasis on different requirements. For example, database techniques are designed to efficiently handle relatively simple queries on large amounts of data stored in external (disk) storage. Machine learning techniques typically consider smaller data sets, and the emphasis is on the accuracy ofa relatively complicated analysis task such as classification. The analysis of large data sets requires the design of new tools that not only combine and generalize techniques from different areas, but also require the design and development ofaltogether new scalable techniques.
Download or read book Uncertainty Handling and Quality Assessment in Data Mining written by Michalis Vazirgiannis and published by . This book was released on 2003-06-01 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Managing and Mining Uncertain Data written by Charu C. Aggarwal and published by Springer Science & Business Media. This book was released on 2010-07-08 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: Managing and Mining Uncertain Data, a survey with chapters by a variety of well known researchers in the data mining field, presents the most recent models, algorithms, and applications in the uncertain data mining field in a structured and concise way. This book is organized to make it more accessible to applications-driven practitioners for solving real problems. Also, given the lack of structurally organized information on this topic, Managing and Mining Uncertain Data provides insights which are not easily accessible elsewhere. Managing and Mining Uncertain Data is designed for a professional audience composed of researchers and practitioners in industry. This book is also suitable as a reference book for advanced-level students in computer science and engineering, as well as the ACM, IEEE, SIAM, INFORMS and AAAI Society groups.
Download or read book Intelligence and Security Informatics written by Hsinchun Chen and published by Springer. This book was released on 2010-06-03 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the Pacific Asia Workshop on Intelligence and Security Informatics 2010, held in Hyderabad, India, in June 2010.
Download or read book MIPPR 2005 written by Jianya Gong and published by SPIE-International Society for Optical Engineering. This book was released on 2005 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of SPIE present the original research papers presented at SPIE conferences and other high-quality conferences in the broad-ranging fields of optics and photonics. These books provide prompt access to the latest innovations in research and technology in their respective fields. Proceedings of SPIE are among the most cited references in patent literature.
Download or read book Managing and Mining Uncertain Data written by Charu C. Aggarwal and published by Springer. This book was released on 2010-07-08 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: Managing and Mining Uncertain Data, a survey with chapters by a variety of well known researchers in the data mining field, presents the most recent models, algorithms, and applications in the uncertain data mining field in a structured and concise way. This book is organized to make it more accessible to applications-driven practitioners for solving real problems. Also, given the lack of structurally organized information on this topic, Managing and Mining Uncertain Data provides insights which are not easily accessible elsewhere. Managing and Mining Uncertain Data is designed for a professional audience composed of researchers and practitioners in industry. This book is also suitable as a reference book for advanced-level students in computer science and engineering, as well as the ACM, IEEE, SIAM, INFORMS and AAAI Society groups.
Download or read book Uncertainty Modelling and Quality Control for Spatial Data written by Wenzhong Shi and published by . This book was released on 2019-10-29 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focused on major research relative to spatial information, Uncertainty Modelling and Quality Control for Spatial Data introduces methods for managing uncertainties-such as data of questionable quality-in geographic information science (GIS) applications. By using original research, current advancement, and emerging developments in the field, the authors compile various aspects of spatial data quality control. From multidimensional and multiscale data integration to uncertainties in spatial data mining, this book launches into areas that are rarely addressed. Topics covered include, New developments of uncertainty modelling, quality control of spatial data, and related research issues in spatial analysis, Spatial statistical solutions in spatial data quality, Eliminating systematic error in the analytical results of GIS applications, A data quality perspective for GIS function workflow design, Data quality in multidimensional integration, Research challenges on data quality in the integration and analysis of data from multiple sources, A new approach for imprecision management in the qualitative data warehouse, A multi-dimensional quality assessment of photogrammetric and LiDAR datasets based on a vector approach, An analysis on the uncertainty of multiscale representation for street-block settlement, Uncertainty Modelling and Quality Control for Spatial Data serves university students, researchers and professionals in GIS, and investigates the uncertainty modelling and quality control in multidimensional data integration, multiscale data representation, national or regional spatial data products, and new spatial data mining methods. Book jacket.
Download or read book International Conference on Space Information Technology written by and published by . This book was released on 2005 with total page 574 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Data and Information Quality written by Carlo Batini and published by Springer. This book was released on 2016-03-23 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a systematic and comparative description of the vast number of research issues related to the quality of data and information. It does so by delivering a sound, integrated and comprehensive overview of the state of the art and future development of data and information quality in databases and information systems. To this end, it presents an extensive description of the techniques that constitute the core of data and information quality research, including record linkage (also called object identification), data integration, error localization and correction, and examines the related techniques in a comprehensive and original methodological framework. Quality dimension definitions and adopted models are also analyzed in detail, and differences between the proposed solutions are highlighted and discussed. Furthermore, while systematically describing data and information quality as an autonomous research area, paradigms and influences deriving from other areas, such as probability theory, statistical data analysis, data mining, knowledge representation, and machine learning are also included. Last not least, the book also highlights very practical solutions, such as methodologies, benchmarks for the most effective techniques, case studies, and examples. The book has been written primarily for researchers in the fields of databases and information management or in natural sciences who are interested in investigating properties of data and information that have an impact on the quality of experiments, processes and on real life. The material presented is also sufficiently self-contained for masters or PhD-level courses, and it covers all the fundamentals and topics without the need for other textbooks. Data and information system administrators and practitioners, who deal with systems exposed to data-quality issues and as a result need a systematization of the field and practical methods in the area, will also benefit from the combination of concrete practical approaches with sound theoretical formalisms.
Download or read book Advances in Database Technology written by and published by . This book was released on 2002 with total page 814 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Principles of Data Mining and Knowledge Discovery written by and published by . This book was released on 2000 with total page 732 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Quality Aspects in Spatial Data Mining written by Alfred Stein and published by CRC Press. This book was released on 2009 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this cohesive collection of peer-reviewed chapters, field authorities present the latest field advancements and cover essential areas such as data acquisition, geoinformation theory, spatial statistics, and dissemination. Each chapter opens with an editorial preview of each topic from a conceptual, applied, and methodological point of view, making it easier for researchers to judge which information is most beneficial to their work. Under the editorial guidance of internationally respected geoinformatics experts, the volume addresses quality aspects in the entire spatial data mining process, from data acquisition to end user.
Download or read book Artificial Intelligence with Uncertainty written by Deyi Li and published by CRC Press. This book was released on 2017-05-18 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book develops a framework that shows how uncertainty in Artificial Intelligence (AI) expands and generalizes traditional AI. It explores the uncertainties of knowledge and intelligence. The authors focus on the importance of natural language – the carrier of knowledge and intelligence, and introduce efficient physical methods for data mining amd control. In this new edition, we have more in-depth description of the models and methods, of which the mathematical properties are proved strictly which make these theories and methods more complete. The authors also highlight their latest research results.
Download or read book Design Management and Quality Control of Toxicogenomic Experiments written by Lyle David Burgoon and published by . This book was released on 2005 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Structural Damage Assessment Under Uncertainty written by Israel López Martínez and published by . This book was released on 2010 with total page 644 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book AMSTAT News written by American Statistical Association and published by . This book was released on 2000 with total page 614 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Data Preparation for Data Mining written by Dorian Pyle and published by Morgan Kaufmann. This book was released on 1999-03-22 with total page 566 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the importance of clean, well-structured data as the first step to successful data mining. It shows how data should be prepared prior to mining in order to maximize mining performance.
