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The blue social bookmark and publication sharing system.
- SELECT count(*) as cnt, usename, current_query FROM pg_stat_activity GROUP BY usename,current_query ORDER BY cnt DESC;
- Common Queries,Common MySQL Queries,Common SQL Queries
- $result = mysql_query("SELECT * FROM example WHERE name='Sandy Smith'") or die(mysql_error());
- PeerCQ is a peer-to-peer system for information monitoring on the web that uses CQs as its primitives to express information monitoring requests. The prima...PeerCQ is a peer-to-peer system for information monitoring on the web that uses CQs as its primitives to express information monitoring requests. The primary objective of the PeerCQ system is to build a decentralized Internet scale distributed system for monitoring information change on the web. The system is aimed to be highly scalable, self-organizing and support efficient and robust way of processing CQs.
- Text Search Graphs With Text Types of Things With Text People With Shared Interests Interests Around Top 100 Authors by Text Social Connections a la ...Text Search Graphs With Text Types of Things With Text People With Shared Interests Interests Around Top 100 Authors by Text Social Connections a la LinkedIn Connection Between Cloud Around Person
- Pages
- When you search for Google Base data, your query goes against a data item feed. There are two data item feeds: the public snippets feed and the customer-sp...When you search for Google Base data, your query goes against a data item feed. There are two data item feeds: the public snippets feed and the customer-specific items feed. * http://www.google.com/base/feeds/snippets: The snippets feed contains al
- When you search for Google Base data, your query goes against a data item feed. There are two data item feeds: the public snippets feed and the customer-sp...When you search for Google Base data, your query goes against a data item feed. There are two data item feeds: the public snippets feed and the customer-specific items feed. * http://www.google.com/base/feeds/snippets: The snippets feed contains al
- Semantic analysis. Query language determination. Auto filtering ... And...How big is the Web? How much do we cover?
- Data Mining vs Privacy. Large amount of data available in digital form. Statisticians query data to mine useful trends. Potential for privacy breaches. Sta...Data Mining vs Privacy. Large amount of data available in digital form. Statisticians query data to mine useful trends. Potential for privacy breaches. Stanford University course.
- Journal of the American Society for Information Science and Technology (2007)
- Proceedings of the ECML/PKDD 2011, (2011)
- Proceedings of the ECML/PKDD 2011, (2011)
- Proceeding of the 17th ACM conference on Information and knowledge management, page 449--458. New York, NY, USA, ACM, (2008)
- WWW '06: Proceedings of the 15th international conference on World Wide Web, page 543--552. New York, NY, USA, ACM, (2006)
- MobiDE '06 Proceedings of the 5th ACM international workshop on Data engineering for wireless and mobile access (2006)
- HT '08: Proceedings of the Nineteenth ACM Conference on Hypertext and Hypermedia, page 157-166. New York, NY, USA, ACM, (2008)
- CSE 1, page 330-337. IEEE Computer Society, (2009)
- International Semantic Web Conference Posters & Demos, volume 401 of CEUR Workshop Proceedings, CEUR-WS.org, (2008)
- SIGMOD Conference, page 331-342. (2001)
- (2010)www.snee.com/bobdc.blog/2010/01/federated-sparql-queries.html, Last visit 29/03/2010 .
- Proceedings of the 5th European Semantic Web Conference, Berlin, Heidelberg, Springer Verlag, (June 2008)
- ISWC 2009: Proceedings of the 8th International Semantic Web Conference, Chantilly, VA, USA, volume 5823 of Lecture Notes in Computer Science, page 293-309. Berlin, Springer, (2009)
- Inf. Process. Manage. 44(3):1251--1266 (2008)
- KDD '09: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, page 239--248. New York, NY, USA, ACM, (2009)
- WSDM '08: Proceedings of the international conference on Web search and web data mining, page 195--206. New York, NY, USA, ACM, (2008)
- WSDM Late Breaking-Results, ACM, (2009)
- Proceedings of the 27th annual international conference on Research and development in information retrieval, page 321--328. Sheffield, United Kingdom, ACM Press, (2004)
- Proceedings of World Wide Web Conference, Edinburgh, Scotland, (2006)
- Proceedings of the 2nd International Workshop on Adversarial Information Retrieval on the Web AIRWeb, page 17--24. Seattle, WA, (August 2006)
