Sciweavers

KDD
2012
ACM
244views Data Mining» more  KDD 2012»
11 years 7 months ago
Open domain event extraction from twitter
Tweets are the most up-to-date and inclusive stream of information and commentary on current events, but they are also fragmented and noisy, motivating the need for systems that c...
Alan Ritter, Mausam, Oren Etzioni, Sam Clark
KDD
2012
ACM
181views Data Mining» more  KDD 2012»
11 years 7 months ago
On "one of the few" objects
Objects with multiple numeric attributes can be compared within any “subspace” (subset of attributes). In applications such as computational journalism, users are interested i...
You Wu, Pankaj K. Agarwal, Chengkai Li, Jun Yang 0...
KDD
2012
ACM
205views Data Mining» more  KDD 2012»
11 years 7 months ago
Searching and mining trillions of time series subsequences under dynamic time warping
Most time series data mining algorithms use similarity search as a core subroutine, and thus the time taken for similarity search is the bottleneck for virtually all time series d...
Thanawin Rakthanmanon, Bilson J. L. Campana, Abdul...
KDD
2012
ACM
188views Data Mining» more  KDD 2012»
11 years 7 months ago
A probabilistic model for multimodal hash function learning
In recent years, both hashing-based similarity search and multimodal similarity search have aroused much research interest in the data mining and other communities. While hashing-...
Yi Zhen, Dit-Yan Yeung
KDD
2012
ACM
185views Data Mining» more  KDD 2012»
11 years 7 months ago
A framework for summarizing and analyzing twitter feeds
The firehose of data generated by users on social networking and microblogging sites such as Facebook and Twitter is enormous. Real-time analytics on such data is challenging wit...
Xintian Yang, Amol Ghoting, Yiye Ruan, Srinivasan ...
KDD
2012
ACM
165views Data Mining» more  KDD 2012»
11 years 7 months ago
PatentMiner: topic-driven patent analysis and mining
Jie Tang, Bo Wang, Yang Yang, Po Hu, Yanting Zhao,...
KDD
2012
ACM
212views Data Mining» more  KDD 2012»
11 years 7 months ago
eTrust: understanding trust evolution in an online world
Most existing research about online trust assumes static trust relations between users. As we are informed by social sciences, trust evolves as humans interact. Little work exists...
Jiliang Tang, Huan Liu, Huiji Gao, Atish Das Sarma...
KDD
2012
ACM
217views Data Mining» more  KDD 2012»
11 years 7 months ago
The long and the short of it: summarising event sequences with serial episodes
An ideal outcome of pattern mining is a small set of informative patterns, containing no redundancy or noise, that identifies the key structure of the data at hand. Standard freq...
Nikolaj Tatti, Jilles Vreeken
KDD
2012
ACM
212views Data Mining» more  KDD 2012»
11 years 7 months ago
Factoring past exposure in display advertising targeting
Online advertising is increasingly becoming more performance oriented, where the decision to show an advertisement to a user is made based on the user’s propensity to respond to...
Neha Gupta, Abhimanyu Das, Sandeep Pandey, Vijay K...
KDD
2012
ACM
200views Data Mining» more  KDD 2012»
11 years 7 months ago
Vertex neighborhoods, low conductance cuts, and good seeds for local community methods
The communities of a social network are sets of vertices with more connections inside the set than outside. We theoretically demonstrate that two commonly observed properties of s...
David F. Gleich, C. Seshadhri