Knowledge Discovery From Sensor Data

Author : Mohamed Medhat Gaber
Publisher : Springer
ISBN 13 : 3642125190
Total Pages : 235 pages
Book Rating : 4.95/5 ( download)

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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.

Author : Mohamed Medhat Gaber
Publisher : Springer
ISBN 13 : 9783642125201
Total Pages : 240 pages
Book Rating : 4.04/5 ( download)

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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:

Author : Mohamed Medhat Gaber
Publisher : Springer Science & Business Media
ISBN 13 : 3642125182
Total Pages : 235 pages
Book Rating : 4.88/5 ( download)

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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.

Author :
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.84/5 ( download)

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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:

Author : Joao Gama
Publisher : CRC Press
ISBN 13 : 1439826129
Total Pages : 256 pages
Book Rating : 4.26/5 ( download)

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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

Author : João Gama
Publisher : Springer Science & Business Media
ISBN 13 : 3540736794
Total Pages : 244 pages
Book Rating : 4.90/5 ( download)

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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.

Author : Association for Computing Machinery
Publisher :
ISBN 13 :
Total Pages : 68 pages
Book Rating : 4.72/5 ( download)

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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:

Author : Charu C. Aggarwal
Publisher : Springer Science & Business Media
ISBN 13 : 1461463092
Total Pages : 547 pages
Book Rating : 4.92/5 ( download)

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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.

Author : Ranga Raju Vatsavai
Publisher :
ISBN 13 :
Total Pages : 118 pages
Book Rating : 4.80/5 ( download)

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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:

Author : Ujjwal Maulik
Publisher : Springer Science & Business Media
ISBN 13 : 1846282845
Total Pages : 375 pages
Book Rating : 4.43/5 ( download)

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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.