Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Recent trends in hierarchic document clustering: a critical review
Information Processing and Management: an International Journal
Fast subsequence matching in time-series databases
SIGMOD '94 Proceedings of the 1994 ACM SIGMOD international conference on Management of data
TOPIC ISLANDS—a wavelet-based text visualization system
Proceedings of the conference on Visualization '98
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
On-line new event detection and tracking
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Extracting significant time varying features from text
Proceedings of the eighth international conference on Information and knowledge management
Automatic generation of overview timelines
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
A study of thresholding strategies for text categorization
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
Detecting and Browsing Events in Unstructured text
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
A visualisation tool for topic tracking analysis and development
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Learning Approaches for Detecting and Tracking News Events
IEEE Intelligent Systems
Fast Similarity Search in the Presence of Noise, Scaling, and Translation in Time-Series Databases
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Bursty and hierarchical structure in streams
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Visualizing Sequential Patterns for Text Mining
INFOVIS '00 Proceedings of the IEEE Symposium on Information Vizualization 2000
A System for new event detection
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
On-Line New Event Detection using Single Pass Clustering TITLE2:
On-Line New Event Detection using Single Pass Clustering TITLE2:
Identifying similarities, periodicities and bursts for online search queries
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Tracking dynamics of topic trends using a finite mixture model
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Text Classification without Labeled Negative Documents
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
Learning to classify texts using positive and unlabeled data
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
CUTS: CUrvature-based development pattern analysis and segmentation for blogs and other Text Streams
Proceedings of the seventeenth conference on Hypertext and hypermedia
Analyzing feature trajectories for event detection
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Time-dependent event hierarchy construction
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Mining correlated bursty topic patterns from coordinated text streams
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Anticipating annotations and emerging trends in biomedical literature
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Online Burst Detection Over High Speed Short Text Streams
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007
Clustering Massive Text Data Streams by Semantic Smoothing Model
ADMA '07 Proceedings of the 3rd international conference on Advanced Data Mining and Applications
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
Extracting Key Entities and Significant Events from Online Daily News
IDEAL '08 Proceedings of the 9th International Conference on Intelligent Data Engineering and Automated Learning
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
Mining common topics from multiple asynchronous text streams
Proceedings of the Second ACM International Conference on Web Search and Data Mining
On burstiness-aware search for document sequences
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Information discovery across multiple streams
Information Sciences: an International Journal
STORIES in Time: A Graph-Based Interface for News Tracking and Discovery
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Event detection from flickr data through wavelet-based spatial analysis
Proceedings of the 18th ACM conference on Information and knowledge management
Opt-in detection based on call detail records
CCNC'09 Proceedings of the 6th IEEE Conference on Consumer Communications and Networking Conference
Early online identification of attention gathering items in social media
Proceedings of the third ACM international conference on Web search and data mining
Term committee based event identification within news topics
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
Mining Query Logs: Turning Search Usage Data into Knowledge
Foundations and Trends in Information Retrieval
PET: a statistical model for popular events tracking in social communities
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
From bursty patterns to bursty facts: The effectiveness of temporal text mining for news
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
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
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
Identifying, attributing and describing spatial bursts
Proceedings of the VLDB Endowment
Dynamic relationship and event discovery
Proceedings of the fourth ACM international conference on Web search and data mining
Discovering market trends in the biotechnology industry
International Journal of Business Intelligence and Data Mining
CIM: categorical influence maximization
Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication
Extracting hot spots of topics from time-stamped documents
Data & Knowledge Engineering
Identifying topic experts and topic communities in the blogspace
DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications - Volume Part I
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
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
Bursty event detection from collaborative tags
World Wide Web
Bursty event detection from text streams for disaster management
Proceedings of the 21st international conference companion on World Wide Web
Emergency situation awareness from twitter for crisis management
Proceedings of the 21st international conference companion on World Wide Web
Potential topics discovery from topic frequency transition with semi-supervised learning
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part II
On the spatiotemporal burstiness of terms
Proceedings of the VLDB Endowment
Detecting and Tracking Topics and Events from Web Search Logs
ACM Transactions on Information Systems (TOIS)
Finding bursty topics from microblogs
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
Finding salient dates for building thematic timelines
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
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
ESA: emergency situation awareness via microbloggers
Proceedings of the 21st ACM international conference on Information and knowledge management
Proceedings of the 22nd international conference on World Wide Web companion
Robust detection of hyper-local events from geotagged social media data
Proceedings of the Thirteenth International Workshop on Multimedia Data Mining
Event detection using user interaction behavior models
Artificial Intelligence Review
AnchorMF: towards effective event context identification
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Real time event detection in twitter
WAIM'13 Proceedings of the 14th international conference on Web-Age Information Management
Spatio-temporal characteristics of bursty words in Twitter streams
Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Event identification in web social media through named entity recognition and topic modeling
Data & Knowledge Engineering
Investigating query bursts in a web search engine
Web Intelligence and Agent Systems
Story graphs: Tracking document set evolution using dynamic graphs
Intelligent Data Analysis - Dynamic Networks and Knowledge Discovery
Novel document detection for massive data streams using distributed dictionary learning
IBM Journal of Research and Development
Hi-index | 0.00 |
Text classification is a major data mining task. An advanced text classification technique is known as partially supervised text classification, which can build a text classifier using a small set of positive examples only. This leads to our curiosity whether it is possible to find a set of features that can be used to describe the positive examples. Therefore, users do not even need to specify a set of positive examples. As the first step, in this paper, we formalize it as a new problem, called hot bursty events detection, to detect bursty events from a text stream which is a sequence of chronologically ordered documents. Here, a bursty event is a set of bursty features, and is considered as a potential category to build a text classifier. It is important to know that the hot bursty events detection problem, we study in this paper, is different from TDT (topic detection and tracking) which attempts to cluster documents as events using clustering techniques. In other words, our focus is on detecting a set of bursty features for a bursty event. In this paper, we propose a new novel parameter free probabilistic approach, called feature-pivot clustering. Our main technique is to fully utilize the time information to determine a set of bursty features which may occur in differenttime windows. We detect bursty events based on the feature distributions. There is no need to tune or estimate any parameters. We conduct experiments using real life data, a major English newspaper in Hong Kong, and show that the parameter free feature-pivot clustering approach can detect the bursty events with a high success rate.