{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:29:36Z","timestamp":1750307376085,"version":"3.41.0"},"reference-count":2,"publisher":"Association for Computing Machinery (ACM)","issue":"2","license":[{"start":{"date-parts":[[2010,5,27]],"date-time":"2010-05-27T00:00:00Z","timestamp":1274918400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["SIGKDD Explor. Newsl."],"published-print":{"date-parts":[[2010,5,27]]},"abstract":"<jats:p>Wide-area sensor infrastructures, remote sensors, RFIDs, and wireless sensor networks yield massive volumes of disparate, dynamic, and geographically distributed data. As such sensors are becoming ubiquitous, a set of broad requirements is beginning to emerge across high-priority applications including adaptability to climate change, electric grid monitoring, disaster preparedness and management, national or homeland security, and the management of critical infrastructures. The raw data from sensors need to be efficiently managed and transformed to usable information through data fusion, which in turn must be converted to predictive insights via knowledge discovery, ultimately facilitating automated or human-induced tactical decisions or strategic policy based on decision sciences and decision support systems.<\/jats:p>\n          <jats:p>Keeping in view the requirements of the emerging field of knowledge discovery from sensor data, we took initiative to develop a community of researchers with common interests and scientific goals, which culminated into the organization of SensorKDD series of workshops in conjunction with the prestigious ACM SIGKDD International Conference of Knowledge Discovery and Data Mining. In this report, we summarize events at the Third ACM-SIGKDD International Workshop on Knowledge Discovery form Sensor Data (SensorKDD 2009).<\/jats:p>","DOI":"10.1145\/1809400.1809417","type":"journal-article","created":{"date-parts":[[2010,6,1]],"date-time":"2010-06-01T12:21:35Z","timestamp":1275394895000},"page":"84-87","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Knowledge discovery from sensor data (SensorKDD)"],"prefix":"10.1145","volume":"11","author":[{"given":"Olufemi A.","family":"Omitaomu","sequence":"first","affiliation":[{"name":"Oak Ridge National Laboratory, Oak Ridge, TN"}]},{"given":"Ranga Raju","family":"Vatsavai","sequence":"additional","affiliation":[{"name":"Oak Ridge National Laboratory, Oak Ridge, TN"}]},{"given":"Auroop R.","family":"Ganguly","sequence":"additional","affiliation":[{"name":"Oak Ridge National Laboratory, Oak Ridge, TN"}]},{"given":"Nitesh V.","family":"Chawla","sequence":"additional","affiliation":[{"name":"University of Notre Dame, IN"}]},{"given":"Joao","family":"Gama","sequence":"additional","affiliation":[{"name":"University of Porto, Porto, Portugal"}]},{"given":"Mohamed Medhat","family":"Gaber","sequence":"additional","affiliation":[{"name":"Monash University, Melbourne, Victoria, Australia"}]}],"member":"320","published-online":{"date-parts":[[2010,5,27]]},"reference":[{"key":"e_1_2_1_1_1","volume-title":"Knowledge Discovery from Sensor Data","author":"Ganguly Auroop R.","year":"2009","unstructured":"Auroop R. Ganguly , Joao Gama , Olufemi A. Omitaomu , Mohamed M. Gaber , and Ranga Raju Vatsavai ( 2009 ). Knowledge Discovery from Sensor Data . New York, NY : CRC Press , January. Auroop R. Ganguly, Joao Gama, Olufemi A. Omitaomu, Mohamed M. Gaber, and Ranga Raju Vatsavai (2009). Knowledge Discovery from Sensor Data. New York, NY: CRC Press, January."},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/1601966"}],"container-title":["ACM SIGKDD Explorations Newsletter"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1809400.1809417","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/1809400.1809417","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T11:23:05Z","timestamp":1750245785000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1809400.1809417"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010,5,27]]},"references-count":2,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2010,5,27]]}},"alternative-id":["10.1145\/1809400.1809417"],"URL":"https:\/\/doi.org\/10.1145\/1809400.1809417","relation":{},"ISSN":["1931-0145","1931-0153"],"issn-type":[{"type":"print","value":"1931-0145"},{"type":"electronic","value":"1931-0153"}],"subject":[],"published":{"date-parts":[[2010,5,27]]},"assertion":[{"value":"2010-05-27","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}