Managing and Mining Sensor DataFrom Springer

Managing and Mining Sensor DataFrom Springer

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Managing and Mining Sensor DataFrom Springer

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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. 

Managing and Mining Sensor DataFrom Springer

• Published on: 2015-06-26
• Original language: English
• Number of items: 1
• Dimensions: 9.25" h x 1.11" w x 6.10" l, 1.68 pounds
• Binding: Paperback
• 534 pages

Managing and Mining Sensor DataFrom Springer

Review

From the reviews:

“In this excellent book, editor Charu C. Aggarwal offers a comprehensive overview of the management and mining of sensor data. The book succeeds in delivering a good balance of breadth versus depth, making it useful for graduate students, researchers, and practitioners … . this book serves as a compact yet authoritative compendium of methods for sensor data collection and mining, with a good balance between theory and practice. I definitely recommend it to anyone who has an interest in sensor network applications.” (Alessandro Berni, Computing Reviews, August, 2013)

About the Author Charu C. Aggarwal obtained his B.Tech in Computer Science from IIT Kanpur in 1993 and Ph.D. from MIT in 1996. He has been a Research Staff Member at IBM since then, and has published over 90 papers in major conferences and journals in the database and data mining field. He has applied for or been granted over 50 US and International patents, and has twice been designated Master Inventor at IBM for the commercial value of his patents. He has been granted 14 invention achievement awards by IBM for his patents. His work on real time bio-terrorist threat detection in data streams won the IBM Epispire award for environmental excellence in 2003. He has served on the program committee of most major database conferences, and was program chair for the Data Mining and Knowledge Discovery Workshop, 2003, and a program vice-chair for the SIAM Conference on Data Mining, 2007. He is an associate editor of the IEEE Transactions on Data Engineering and an action editor of the Data Mining and Knowledge Discovery Journal. He is a senior member of the IEEE.

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Most helpful customer reviews

3 of 4 people found the following review helpful. Compilation of articles By Zebov This book, although interesting is nothing more then bunch of scientific articles, for this price author could write a normal book and not just paste previously written articles and call it a book. I bet they can be found on specialist websites (like ieee or etc). I am very disappointed - for 30% of this price it could be ok but not for 150 $. 3/5 that is my rate for it. Decide by yourself...

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Managing and Mining Sensor DataFrom Springer

Managing and Mining Sensor DataFrom Springer

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Managing and Mining Sensor DataFrom Springer