To Characterize The Contents Of The Documents Through Pattern Discovery In Text Mining
暂无分享,去创建一个
[1] Andrew E. Smith,et al. Evaluation of unsupervised semantic mapping of natural language with Leximancer concept mapping , 2006, Behavior research methods.
[2] Jiawei Han,et al. Multidimensional Data Mining of Traffic Anomalies on Large-Scale Road Networks , 2011 .
[3] Dragan Pamucar,et al. Decision support model for prioritizing railway level crossings for safety improvements: Application of the adaptive neuro-fuzzy system , 2013, Expert Syst. Appl..
[4] Darccedil,et al. A neural network (NN) model to predict intersection crashes based upon driver, vehicle and roadway surface characteristics 1 , 2010 .
[5] Lee D. Han,et al. An Online Self-Learning Algorithm for License Plate Matching , 2013, IEEE Transactions on Intelligent Transportation Systems.
[6] Yang Zhao,et al. Text mining based fault diagnosis of vehicle on-board equipment for high speed railway , 2014, 17th International IEEE Conference on Intelligent Transportation Systems (ITSC).
[7] Thomas Hofmann,et al. Probabilistic Latent Semantic Indexing , 1999, SIGIR Forum.
[8] Matthew L. Jensen,et al. Detecting Concealment of Intent in Transportation Screening: A Proof of Concept , 2009, IEEE Transactions on Intelligent Transportation Systems.
[9] Eleonora D'Andrea,et al. Real-Time Detection of Traffic From Twitter Stream Analysis , 2015, IEEE Transactions on Intelligent Transportation Systems.
[10] Hui Wang,et al. Web-Based Traffic Sentiment Analysis: Methods and Applications , 2014, IEEE Transactions on Intelligent Transportation Systems.
[11] Richi Nayak,et al. Application of text mining in analysing road crashes for road asset management , 2010, WCE 2010.
[12] Li-Sian Tey,et al. Modelling driver behaviour towards innovative warning devices at railway level crossings. , 2013, Accident; analysis and prevention.