Agents that Learn from Distributed Dynamic Data Sources Export

@misc{citeulike:485898, abstract = {Recent advances in high throughput data acquisition and data storage technologies have made it possible to gather and store large amounts of data at increasing rates. Much of this data is physically distributed and the data sets grow in size at a fairly fast rate. Translating the ability to gather data into fundamental gains in understanding of the respective domains (e.g., bioinformatics) calls for data-driven knowledge acquisition agents that can incrementally process large amounts of data...}, author = {Caragea, D. and Silvescu, A. and Honavar, V.}, citeulike-article-id = {485898}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.59.2298}, keywords = {agent, distributed, machinelearning}, posted-at = {2006-01-30 13:54:03}, priority = {2}, title = {Agents that Learn from Distributed Dynamic Data Sources}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.59.2298}, year = {2000} }

TY - GEN ID - citeulike:485898 L3 - citeulike-article-id:485898 N2 - Recent advances in high throughput data acquisition and data storage technologies have made it possible to gather and store large amounts of data at increasing rates. Much of this data is physically distributed and the data sets grow in size at a fairly fast rate. Translating the ability to gather data into fundamental gains in understanding of the respective domains (e.g., bioinformatics) calls for data-driven knowledge acquisition agents that can incrementally process large amounts of data... TI - Agents that Learn from Distributed Dynamic Data Sources KW - agent KW - distributed KW - machinelearning AU - Caragea, D AU - Silvescu, A AU - Honavar, V PY - 2000/// UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.59.2298 ER -