1458 search results - page 130 / 292 » Practical Preference Relations for Large Data Sets |
164
click to vote
DEXAW
1998
IEEE
15 years 10 months ago
1998
IEEE
Due to the increasingly di culty of discovering patterns in real-world databases using only conventional OLAP tools, an automated process such as data mining is currently essentia...
178
click to vote
DAWAK
2006
Springer
15 years 9 months ago
2006
Springer
Abstract. There is an urgent need for sound approaches to integrative and collaborative analysis of large, autonomous (and hence, inevitably semantically heterogeneous) data source...
174
click to vote
CIKM
1993
Springer
15 years 10 months ago
1993
Springer
match algorithms that can efficiently handleAbstract complex tests in the presence of large amounts of data. Match algorithms that are capable of handling large amounts of On the o...
193
click to vote
ACL
2006
15 years 7 months ago
2006
This paper proposes a semi-supervised boosting approach to improve statistical word alignment with limited labeled data and large amounts of unlabeled data. The proposed approach ...
172
click to vote
DEXA
2009
Springer
15 years 10 months ago
2009
Springer
Detecting the failure of a data stream is relatively easy when the stream is continually full of data. The transfer of large amounts of data allows for the simple detection of inte...