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Knowledge Discovery From Sensor Data
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Book Synopsis Knowledge Discovery from Sensor Data by : Mohamed Medhat Gaber
Download or read book Knowledge Discovery from Sensor Data written by Mohamed Medhat Gaber and published by Springer. This book was released on 2010-04-07 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains thoroughly refereed extended papers from the Second International Workshop on Knowledge Discovery from Sensor Data, Sensor-KDD 2008, held in Las Vegas, NV, USA, in August 2008. The 12 revised papers presented together with an invited paper were carefully reviewed and selected from numerous submissions. The papers feature important aspects of knowledge discovery from sensor data, e.g., data mining for diagnostic debugging; incremental histogram distribution for change detection; situation-aware adaptive visualization; WiFi mining; mobile sensor data mining; incremental anomaly detection; and spatiotemporal neighborhood discovery for sensor data.
Book Synopsis Knowledge Discovery from Sensor Data by : Mohamed Medhat Gaber
Download or read book Knowledge Discovery from Sensor Data written by Mohamed Medhat Gaber and published by Springer. This book was released on 2010-04-23 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Knowledge Discovery from Sensor Data by : Mohamed Medhat Gaber
Download or read book Knowledge Discovery from Sensor Data written by Mohamed Medhat Gaber and published by Springer Science & Business Media. This book was released on 2010-04-14 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains thoroughly refereed extended papers from the Second International Workshop on Knowledge Discovery from Sensor Data, Sensor-KDD 2008, held in Las Vegas, NV, USA, in August 2008. The 12 revised papers presented together with an invited paper were carefully reviewed and selected from numerous submissions. The papers feature important aspects of knowledge discovery from sensor data, e.g., data mining for diagnostic debugging; incremental histogram distribution for change detection; situation-aware adaptive visualization; WiFi mining; mobile sensor data mining; incremental anomaly detection; and spatiotemporal neighborhood discovery for sensor data.
Download or read book SensorKDD written by and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Knowledge Discovery from Data Streams by : Joao Gama
Download or read book Knowledge Discovery from Data Streams written by Joao Gama and published by CRC Press. This book was released on 2010-05-25 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the beginning of the Internet age and the increased use of ubiquitous computing devices, the large volume and continuous flow of distributed data have imposed new constraints on the design of learning algorithms. Exploring how to extract knowledge structures from evolving and time-changing data, Knowledge Discovery from Data Streams presents
Book Synopsis Managing and Mining Sensor Data by : Charu C. Aggarwal
Download or read book Managing and Mining Sensor Data written by Charu C. Aggarwal and published by Springer Science & Business Media. This book was released on 2013-01-15 with total page 547 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in hardware technology have lead to an ability to collect data with the use of a variety of sensor technologies. In particular sensor notes have become cheaper and more efficient, and have even been integrated into day-to-day devices of use, such as mobile phones. This has lead to a much larger scale of applicability and mining of sensor data sets. The human-centric aspect of sensor data has created tremendous opportunities in integrating social aspects of sensor data collection into the mining process. Managing and Mining Sensor Data is a contributed volume by prominent leaders in this field, targeting advanced-level students in computer science as a secondary text book or reference. Practitioners and researchers working in this field will also find this book useful.
Book Synopsis Learning from Data Streams by : João Gama
Download or read book Learning from Data Streams written by João Gama and published by Springer Science & Business Media. This book was released on 2007-09-20 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Processing data streams has raised new research challenges over the last few years. This book provides the reader with a comprehensive overview of stream data processing, including famous prototype implementations like the Nile system and the TinyOS operating system. Applications in security, the natural sciences, and education are presented. The huge bibliography offers an excellent starting point for further reading and future research.
Book Synopsis Proceedings of the Sixth International Workshop on Knowledge Discovery from Sensor Data by : Association for Computing Machinery
Download or read book Proceedings of the Sixth International Workshop on Knowledge Discovery from Sensor Data written by Association for Computing Machinery and published by . This book was released on 2012 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Proceedings of the Second International Workshop on Knowledge Discovery from Sensor Data (Sensor-KDD 2008) by : Ranga Raju Vatsavai
Download or read book Proceedings of the Second International Workshop on Knowledge Discovery from Sensor Data (Sensor-KDD 2008) written by Ranga Raju Vatsavai and published by . This book was released on 2008 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Advanced Methods for Knowledge Discovery from Complex Data by : Ujjwal Maulik
Download or read book Advanced Methods for Knowledge Discovery from Complex Data written by Ujjwal Maulik and published by Springer Science & Business Media. This book was released on 2006-05-06 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: The growth in the amount of data collected and generated has exploded in recent times with the widespread automation of various day-to-day activities, advances in high-level scienti?c and engineering research and the development of e?cient data collection tools. This has given rise to the need for automa- callyanalyzingthedatainordertoextractknowledgefromit,therebymaking the data potentially more useful. Knowledge discovery and data mining (KDD) is the process of identifying valid, novel, potentially useful and ultimately understandable patterns from massive data repositories. It is a multi-disciplinary topic, drawing from s- eral ?elds including expert systems, machine learning, intelligent databases, knowledge acquisition, case-based reasoning, pattern recognition and stat- tics. Many data mining systems have typically evolved around well-organized database systems (e.g., relational databases) containing relevant information. But, more and more, one ?nds relevant information hidden in unstructured text and in other complex forms. Mining in the domains of the world-wide web, bioinformatics, geoscienti?c data, and spatial and temporal applications comprise some illustrative examples in this regard. Discovery of knowledge, or potentially useful patterns, from such complex data often requires the - plication of advanced techniques that are better able to exploit the nature and representation of the data. Such advanced methods include, among o- ers, graph-based and tree-based approaches to relational learning, sequence mining, link-based classi?cation, Bayesian networks, hidden Markov models, neural networks, kernel-based methods, evolutionary algorithms, rough sets and fuzzy logic, and hybrid systems. Many of these methods are developed in the following chapters.
Book Synopsis Proceedings of the Fifth International Workshop on Knowledge Discovery from Sensor Data (SensorKDD'11) : August 21, 2011 San Diego, CA. by : Varun Chandola
Download or read book Proceedings of the Fifth International Workshop on Knowledge Discovery from Sensor Data (SensorKDD'11) : August 21, 2011 San Diego, CA. written by Varun Chandola and published by . This book was released on 2011 with total page 69 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :Association for Computing Machinery. Special Interest Group on Knowledge Discovery & Data Mining Publisher : ISBN 13 :9781605586687 Total Pages :150 pages Book Rating :4.5/5 (866 download)
Book Synopsis Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data by : Association for Computing Machinery. Special Interest Group on Knowledge Discovery & Data Mining
Download or read book Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data written by Association for Computing Machinery. Special Interest Group on Knowledge Discovery & Data Mining and published by . This book was released on 2009-06-28 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: KDD '09: The 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining Jun 28, 2009-Jul 01, 2009 Paris, France. You can view more information about this proceeding and all of ACMs other published conference proceedings from the ACM Digital Library: http://www.acm.org/dl.
Book Synopsis First International Workshop on Knowledge Discovery from Sensor Data (Sensor-KDD '07) by : Olufemi Abayomi Omitaomu
Download or read book First International Workshop on Knowledge Discovery from Sensor Data (Sensor-KDD '07) written by Olufemi Abayomi Omitaomu and published by . This book was released on 2007 with total page 131 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Big Data Analytics and Knowledge Discovery by : Sanjay Madria
Download or read book Big Data Analytics and Knowledge Discovery written by Sanjay Madria and published by Springer. This book was released on 2015-08-09 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 17th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2015, held in Valencia, Spain, September 2015. The 31 revised full papers presented were carefully reviewed and selected from 90 submissions. The papers are organized in topical sections similarity measure and clustering; data mining; social computing; heterogeneos networks and data; data warehouses; stream processing; applications of big data analysis; and big data.
Book Synopsis Data Mining and Knowledge Discovery for Process Monitoring and Control by : Xue Z. Wang
Download or read book Data Mining and Knowledge Discovery for Process Monitoring and Control written by Xue Z. Wang and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern computer-based control systems are able to collect a large amount of information, display it to operators and store it in databases but the interpretation of the data and the subsequent decision making relies mainly on operators with little computer support. This book introduces developments in automatic analysis and interpretation of process-operational data both in real-time and over the operational history, and describes new concepts and methodologies for developing intelligent, state space-based systems for process monitoring, control and diagnosis. The book brings together new methods and algorithms from process monitoring and control, data mining and knowledge discovery, artificial intelligence, pattern recognition, and causal relationship discovery, as well as signal processing. It also provides a framework for integrating plant operators and supervisors into the design of process monitoring and control systems.
Book Synopsis Knowledge Discovery and Data Mining by : Honghua Tan
Download or read book Knowledge Discovery and Data Mining written by Honghua Tan and published by Springer Science & Business Media. This book was released on 2012-02-04 with total page 798 pages. Available in PDF, EPUB and Kindle. Book excerpt: The volume includes a set of selected papers extended and revised from the 4th International conference on Knowledge Discovery and Data Mining, March 1-2, 2011, Macau, Chin. This Volume is to provide a forum for researchers, educators, engineers, and government officials involved in the general areas of knowledge discovery and data mining and learning to disseminate their latest research results and exchange views on the future research directions of these fields. 108 high-quality papers are included in the volume.
Book Synopsis Ubiquitous Knowledge Discovery by : Michael May
Download or read book Ubiquitous Knowledge Discovery written by Michael May and published by Springer Science & Business Media. This book was released on 2010-10-19 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge discovery in ubiquitous environments is an emerging area of research at the intersection of the two major challenges of highly distributed and mobile systems and advanced knowledge discovery systems. It aims to provide a unifying framework for systematically investigating the mutual dependencies of otherwise quite unrelated technologies employed in building next-generation intelligent systems: machine learning, data mining, sensor networks, grids, peer-to-peer networks, data stream mining, activity recognition, Web 2.0, privacy, user modelling and others. This state-of-the-art survey is the outcome of a large number of workshops, summer schools, tutorials and dissemination events organized by KDubiq (Knowledge Discovery in Ubiquitous Environments), a networking project funded by the European Commission to bring together researchers and practitioners of this emerging community. It provides in its first part a conceptual foundation for the new field of ubiquitous knowledge discovery - highlighting challenges and problems, and proposing future directions in the area of 'smart', 'adaptive', and 'intelligent' learning. The second part of this volume contains selected approaches to ubiquitous knowledge discovery and treats specific aspects in detail. The contributions have been carefully selected to provide illustrations and in-depth discussions for some of the major findings of Part I.
