|
|
|
|
| LEADER |
01473 am a22002173u 4500 |
| 001 |
90856 |
| 042 |
|
|
|a dc
|
| 100 |
1 |
0 |
|a Gubanov, Michael
|e author
|
| 100 |
1 |
0 |
|a Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
|e contributor
|
| 100 |
1 |
0 |
|a Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
|e contributor
|
| 100 |
1 |
0 |
|a Gubanov, Michael
|e contributor
|
| 100 |
1 |
0 |
|a Stonebraker, Michael
|e contributor
|
| 700 |
1 |
0 |
|a Stonebraker, Michael
|e author
|
| 700 |
1 |
0 |
|a Bruckner, Daniel
|e author
|
| 245 |
0 |
0 |
|a Text and structured data fusion in data tamer at scale
|
| 260 |
|
|
|b Institute of Electrical and Electronics Engineers (IEEE),
|c 2014-10-09T19:52:13Z.
|
| 856 |
|
|
|z Get fulltext
|u http://hdl.handle.net/1721.1/90856
|
| 520 |
|
|
|a Large-scale text data research has recently started to regain momentum [1]-[10], because of the wealth of up to date information communicated in unstructured format. For example, new information in online media (e.g. Web blogs, Twitter, Facebook, news feeds, etc) becomes instantly available and is refreshed regularly, has very broad coverage and other valuable properties unusual for other data sources and formats. Therefore, many enterprises and individuals are interested in integrating and using unstructured text in addition to their structured data.
|
| 546 |
|
|
|a en_US
|
| 655 |
7 |
|
|a Article
|
| 773 |
|
|
|t 2014 IEEE 30th International Conference on Data Engineering (ICDE)
|
