Distributed Pre-Processing of Data on Networks of Berkeley Motes Using Non-Parametric EM Export

@misc{citeulike:1672621, abstract = {Inexpensive sensor networks, such as those constructed using Berkeley motes, record many missing or absurd values due to low battery levels, transmission errors, sensor device errors and node failures. However, many mining algorithms do not easily handle data with missing values and the mining literature illustrates that removing records with missing values yields worse results than if missing values are intelligently filled in. A powerful method of filling in missing values is the expectation...}, author = {Davidson, Ian and Ravi, S. S.}, citeulike-article-id = {1672621}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.60.4924}, keywords = {data\_mining, wsn}, posted-at = {2007-09-19 01:47:05}, priority = {2}, title = {Distributed Pre-Processing of Data on Networks of Berkeley Motes Using Non-Parametric EM}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.60.4924} }

TY - GEN ID - citeulike:1672621 L3 - citeulike-article-id:1672621 N2 - Inexpensive sensor networks, such as those constructed using Berkeley motes, record many missing or absurd values due to low battery levels, transmission errors, sensor device errors and node failures. However, many mining algorithms do not easily handle data with missing values and the mining literature illustrates that removing records with missing values yields worse results than if missing values are intelligently filled in. A powerful method of filling in missing values is the expectation... TI - Distributed Pre-Processing of Data on Networks of Berkeley Motes Using Non-Parametric EM KW - data_mining KW - wsn AU - Davidson, Ian AU - Ravi, SS UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.60.4924 ER -