A study of retrospective and on-line event detection
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Automatic generation of overview timelines
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
First story detection in TDT is hard
Proceedings of the ninth international conference on Information and knowledge management
Combining semantic and syntactic document classifiers to improve first story detection
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Topic Detection and Tracking: Event-Based Information Organization
Topic Detection and Tracking: Event-Based Information Organization
Bursty and hierarchical structure in streams
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Topic-conditioned novelty detection
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Retrieval and novelty detection at the sentence level
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
A System for new event detection
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Identifying similarities, periodicities and bursts for online search queries
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Text classification and named entities for new event detection
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
On the Bursty Evolution of Blogspace
World Wide Web
Discovering evolutionary theme patterns from text: an exploration of temporal text mining
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Parameter free bursty events detection in text streams
VLDB '05 Proceedings of the 31st international conference on Very large data bases
A model for anticipatory event detection
ER'06 Proceedings of the 25th international conference on Conceptual Modeling
Automatic online news issue construction in web environment
Proceedings of the 17th international conference on World Wide Web
Automatic online news topic ranking using media focus and user attention based on aging theory
Proceedings of the 17th ACM conference on Information and knowledge management
Event detection with common user interests
Proceedings of the 10th ACM workshop on Web information and data management
An Automatic Online News Topic Keyphrase Extraction System
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
On burstiness-aware search for document sequences
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Event detection from flickr data through wavelet-based spatial analysis
Proceedings of the 18th ACM conference on Information and knowledge management
Mining the blogosphere for top news stories identification
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Structure-aware topic clustering in social media
Proceedings of the 10th ACM symposium on Document engineering
ADC '10 Proceedings of the Twenty-First Australasian Conference on Database Technologies - Volume 104
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
The gist of everything new: personalized top-k processing over web 2.0 streams
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Context modeling for ranking and tagging bursty features in text streams
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Unsupervised public health event detection for epidemic intelligence
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Topical summarization of web videos by visual-text time-dependent alignment
Proceedings of the international conference on Multimedia
Detecting hot events from web search logs
WAIM'10 Proceedings of the 11th international conference on Web-age information management
Dynamic relationship and event discovery
Proceedings of the fourth ACM international conference on Web search and data mining
The detection of scene features in Flickr
ICWL'10 Proceedings of the 2010 international conference on New horizons in web-based learning
Analyzing word frequencies in large text corpora using inter-arrival times and bootstrapping
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part II
A spectral analysis approach for social media community detection
SocInfo'11 Proceedings of the Third international conference on Social informatics
Detecting health events on the social web to enable epidemic intelligence
SPIRE'11 Proceedings of the 18th international conference on String processing and information retrieval
Efficient monitoring of personalized hot news over Web 2.0 streams
Computer Science - Research and Development
Bursty event detection from text streams for disaster management
Proceedings of the 21st international conference companion on World Wide Web
Detecting and Tracking Topics and Events from Web Search Logs
ACM Transactions on Information Systems (TOIS)
Identifying event-related bursts via social media activities
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Twevent: segment-based event detection from tweets
Proceedings of the 21st ACM international conference on Information and knowledge management
Ranking news events by influence decay and information fusion for media and users
Proceedings of the 21st ACM international conference on Information and knowledge management
Event Duration Detection on Microblogging
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Extracting event-related information from article updates in wikipedia
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
Emerging topic detection for organizations from microblogs
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
A time-dependent enhanced support vector machine for time series regression
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Temporal summarization of event-related updates in wikipedia
Proceedings of the 22nd international conference on World Wide Web companion
Proceedings of the 22nd international conference on World Wide Web companion
Evolution of communities on Twitter and the role of their leaders during emergencies
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Cross-media topic detection associated with hot search queries
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
Event detection using user interaction behavior models
Artificial Intelligence Review
Real time event detection in twitter
WAIM'13 Proceedings of the 14th international conference on Web-Age Information Management
EvenTweet: online localized event detection from twitter
Proceedings of the VLDB Endowment
A Graph Analytical Approach for Topic Detection
ACM Transactions on Internet Technology (TOIT)
Event identification in web social media through named entity recognition and topic modeling
Data & Knowledge Engineering
Hi-index | 0.00 |
We consider the problem of analyzing word trajectories in both time and frequency domains, with the specific goal of identifying important and less-reported, periodic and aperiodic words. A set of words with identical trends can be grouped together to reconstruct an event in a completely un-supervised manner. The document frequency of each word across time is treated like a time series, where each element is the document frequency - inverse document frequency (DFIDF) score at one time point. In this paper, we 1) first applied spectral analysis to categorize features for different event characteristics: important and less-reported, periodic and aperiodic; 2) modeled aperiodic features with Gaussian density and periodic features with Gaussian mixture densities, and subsequently detected each feature's burst by the truncated Gaussian approach; 3) proposed an unsupervised greedy event detection algorithm to detect both aperiodic and periodic events. All of the above methods can be applied to time series data in general. We extensively evaluated our methods on the 1-year Reuters News Corpus [3] and showed that they were able to uncover meaningful aperiodic and periodic events.