Search Results - "2014 IEEE International Conference on Data Mining"

RS-Forest: A Rapid Density Estimator for Streaming Anomaly Detection by Ke Wu, Kun Zhang, Wei Fan, Edwards, Andrea, Yu, Philip S.

“…Anomaly detection in streaming data is of high interest in numerous application domains. In this paper, we propose a novel one-class semi-supervised algorithm…”
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Dynamic Time Warping Averaging of Time Series Allows Faster and More Accurate Classification by Petitjean, Francois, Forestier, Germain, Webb, Geoffrey I., Nicholson, Ann E., Yanping Chen, Keogh, Eamonn

“…Recent years have seen significant progress in improving both the efficiency and effectiveness of time series classification. However, because the best…”
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News Credibility Evaluation on Microblog with a Hierarchical Propagation Model by Zhiwei Jin, Juan Cao, Yu-Gang Jiang, Yongdong Zhang

“…Benefiting from its openness, collaboration and real-time features, Micro blog has become one of the most important news communication media in modern society…”
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Hete-CF: Social-Based Collaborative Filtering Recommendation Using Heterogeneous Relations by Chen Luo, Wei Pang, Zhe Wang, Chenghua Lin

“…In this paper, we investigate the social-based recommendation algorithms on heterogeneous social networks and proposed Hete-CF, a social collaborative…”
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Robust Spectral Learning for Unsupervised Feature Selection by Lei Shi, Liang Du, Yi-Dong Shen

“…In this paper, we consider the problem of unsupervised feature selection. Recently, spectral feature selection algorithms, which leverage both graph Laplacian…”
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Tensor-Based Multi-view Feature Selection with Applications to Brain Diseases by Bokai Cao, Lifang He, Xiangnan Kong, Yu, Philip S., Zhifeng Hao, Ragin, Ann B.

“…In the era of big data, we can easily access information from multiple views which may be obtained from different sources or feature subsets. Generally,…”
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Spotting Fake Reviews via Collective Positive-Unlabeled Learning by Huayi Li, Zhiyuan Chen, Bing Liu, Xiaokai Wei, Jidong Shao

“…Online reviews have become an increasingly important resource for decision making and product designing. But reviews systems are often targeted by opinion…”
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Low-Rank Common Subspace for Multi-view Learning by Zhengming Ding, Yun Fu

“…Multi-view data is very popular in real-world applications, as different view-points and various types of sensors help to better represent data when fused…”
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Efficient Anomaly Detection by Isolation Using Nearest Neighbour Ensemble by Bandaragoda, Tharindu R., Kai Ming Ting, Albrecht, David, Liu, Fei Tony, Wells, Jonathan R.

“…This paper presents iNNE (isolation using Nearest Neighbour Ensemble), an efficient nearest neighbour-based anomaly detection method by isolation. Inne runs…”
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Identifying Team Style in Soccer Using Formations Learned from Spatiotemporal Tracking Data by Bialkowski, Alina, Lucey, Patrick, Carr, Peter, Yisong Yue, Sridharan, Sridha, Matthews, Iain

“…To the trained-eye, experts can often identify a team based on their unique style of play due to their movement, passing and interactions. In this paper, we…”
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Emotion Recognition from Text Based on Automatically Generated Rules by Shaheen, Shadi, El-Hajj, Wassim, Hajj, Hazem, Elbassuoni, Shady

“…With the growth of the Internet community, textual data has proven to be the main tool of communication in human-machine and human-human interaction. This…”
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Large-Scale Analysis of Soccer Matches Using Spatiotemporal Tracking Data by Bialkowski, Alina, Lucey, Patrick, Carr, Peter, Yisong Yue, Sridharan, Sridha, Matthews, Iain

“…Although the collection of player and ball tracking data is fast becoming the norm in professional sports, large-scale mining of such spatiotemporal data has…”
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The Eyes of the Beholder: Gender Prediction Using Images Posted in Online Social Networks by Quanzeng You, Bhatia, Sumit, Tong Sun, Jiebo Luo

“…Identifying user attributes from their social media activities has been an active research topic. The ability to predict user attributes such as age, gender,…”
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Learning Low-Rank Label Correlations for Multi-label Classification with Missing Labels by Linli Xu, Zhen Wang, Zefan Shen, Yubo Wang, Enhong Chen

“…Multi-label learning deals with the problem where each training example is associated with a set of labels simultaneously, with the set of labels corresponding…”
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Towards Scalable and Accurate Online Feature Selection for Big Data by Kui Yu, Xindong Wu, Wei Ding, Jian Pei

“…Feature selection is important in many big data applications. There are at least two critical challenges. Firstly, in many applications, the dimensionality is…”
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Road Traffic Congestion Monitoring in Social Media with Hinge-Loss Markov Random Fields by Chen, Po-Ta, Chen, Feng, Qian, Zhen

“…Real-time road traffic congestion monitoring is an important and challenging problem. Most existing monitoring approaches require the deployment of…”
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Social Spammer Detection with Sentiment Information by Xia Hu, Jiliang Tang, Huiji Gao, Huan Liu

“…Social media is a popular platform for spammers to unfairly overwhelm normal users with unwanted or fake content via social networking. The spammers…”
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Learning Fine-Grained Spatial Models for Dynamic Sports Play Prediction by Yisong Yue, Lucey, Patrick, Carr, Peter, Bialkowski, Alina, Matthews, Iain

“…We consider the problem of learning predictive models for in-game sports play prediction. Focusing on basketball, we develop models for anticipating…”
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Big Data Stream Learning with SAMOA by Bifet, Albert, De Francisci Morales, Gianmarco

“…Big data is flowing into every area of our life, professional and personal. Big data is defined as datasets whose size is beyond the ability of typical…”
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Cyberbullying Detection using Time Series Modeling by Potha, Nektaria, Maragoudakis, Manolis

“…Cyber bullying is a new phenomenon resulting from the advance of new communication technologies including the Internet, cell phones and Personal Digital…”
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