Managing and mining sensor data / Charu C. Aggarwal, editor.

Other author Aggarwal, Charu C.
Format Electronic
Publication InfoNew York : Springer, [2013]
Descriptionxiv, 534 pages : illustrations (some color) ; 24 cm
Supplemental ContentFull text available from Springer Books
Supplemental ContentFull text available from Springer Nature - Springer Computer Science eBooks 2013 English International
Subjects

Contents An Introduction to Sensor Data Analytics / Charu C. Aggarwal -- A Survey of Model-based Sensor Data Acquisition and Management / Saket Sathe, Thanasis G. Papaioannou, Hoyoung Jeung -- Query Processing in Wireless Sensor Networks / Lixin Wang, Lei Chen, Dimitris Papadias -- Event Processing in Sensor Streams / Fusheng Wang, Chunjie Zhou, Yanming Nie -- Dimensionality Reduction and Filtering on Time Series Sensor Streams / Spiros Papadimitriou, Jimeng Sun, Christos Faloutos -- Mining Sensor Data Streams / Charu C. Aggarwal -- Real-Time Data Analytics in Sensor Networks / Themis Palpanas -- Distributed Data Mining in Sensor Networks / Kanishka Bhaduri, Marco Stolpe -- Social Sensing / Charu C. Aggarwal, Tarek Abdelzaher -- Sensing for Mobile Objects / Nicholas D. Larusso, Ambuj K. Singh -- A Survey of RFID Data Processing / Charu C. Aggarwal, Jiawei Han -- The Internet of Things: A Survey from the Data-Centric Perspective / Charu C. Aggarwal, Naveen Ashish, Amit Sheth -- A Survey of Datamining Methods for Sensor Network Bug Diagnosis / Tarek Abdelzaher, Jiawei Han -- Mining of Sensor Data in Healthcare: A Survey / Daby Sow, Deepak S. Turaga, Michael Schmidt -- Earth Science Applications of Sensor Data / Anuj Karpatne, James Faghmous, Jaya Kawale, Luke Styles.
Abstract 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.-- Source other than Library of Congress.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2012956190
ISBN9781461463085 (alk. paper)
ISBN1461463084 (alk. paper)

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