Journal ArticleDOI
Information entropy based event detection during disaster in cyber-social networks
A. Bhuvaneswari,C. Valliyammai +1 more
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This article is published in Journal of Intelligent and Fuzzy Systems.The article was published on 2019-01-01. It has received 14 citations till now. The article focuses on the topics: Event (relativity).read more
Citations
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Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation (情報論的学習理論と機械学習)
TL;DR: This paper presents a novel statistical change-point detection algorithm based on non-parametric divergence estimation between time-series samples from two retrospective segments that is accurately and efficiently estimated by a method of direct density-ratio estimation.
Journal ArticleDOI
Embedded Bi-directional GRU and LSTMLearning Models to Predict Disasterson Twitter Data
TL;DR: Embedded bi-directional GRU and LSTM learning models is applied for disaster event prediction that uses deep learning techniques to categorize the tweets and the experiments demonstrate the model selector choose the deepLearning techniques to predict the disaster event with reasonably high accuracy.
Journal ArticleDOI
Comparison of different machine learning techniques on location extraction by utilizing geo-tagged tweets: A case study
TL;DR: 10 different machine learning algorithms are applied by utilizing sentiment analysis based on location-specific disaster-related tweets by aiming fast and correct response in a disaster situation to provide a quick response to earthquakes.
Journal ArticleDOI
Intelligent, smart and scalable cyber-physical systems
TL;DR: The iCPS are large-scale software intensive and pervasive systems, which by combining various data sources and applying intelligence techniques, can efficiently manage real-world processes and offers a broad range of novel applications and services.
Journal ArticleDOI
Fuzzy Measures: A solution to deal with community detection problems for networks with additional information
TL;DR: This work introduces the notion of the weighted graph associated with a fuzzy measure and proposes an algorithm based on the Louvain’s method to deal with community detection problems with additional information independent of the graph.
References
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Journal Article
Scikit-learn: Machine Learning in Python
Fabian Pedregosa,Gaël Varoquaux,Alexandre Gramfort,Vincent Michel,Bertrand Thirion,Olivier Grisel,Mathieu Blondel,Peter Prettenhofer,Ron Weiss,Vincent Dubourg,Jake Vanderplas,Alexandre Passos,David Cournapeau,Matthieu Brucher,Matthieu Perrot,Edouard Duchesnay +15 more
TL;DR: Scikit-learn is a Python module integrating a wide range of state-of-the-art machine learning algorithms for medium-scale supervised and unsupervised problems, focusing on bringing machine learning to non-specialists using a general-purpose high-level language.
Posted Content
Scikit-learn: Machine Learning in Python
Fabian Pedregosa,Gaël Varoquaux,Alexandre Gramfort,Vincent Michel,Bertrand Thirion,Olivier Grisel,Mathieu Blondel,Andreas Müller,Joel Nothman,Gilles Louppe,Peter Prettenhofer,Ron Weiss,Vincent Dubourg,Jake Vanderplas,Alexandre Passos,David Cournapeau,Matthieu Brucher,Matthieu Perrot,Edouard Duchesnay +18 more
TL;DR: Scikit-learn as mentioned in this paper is a Python module integrating a wide range of state-of-the-art machine learning algorithms for medium-scale supervised and unsupervised problems.
Proceedings ArticleDOI
The Stanford CoreNLP Natural Language Processing Toolkit
Christopher D. Manning,Mihai Surdeanu,John Bauer,Jenny Rose Finkel,Steven Bethard,David McClosky +5 more
TL;DR: The design and use of the Stanford CoreNLP toolkit is described, an extensible pipeline that provides core natural language analysis, and it is suggested that this follows from a simple, approachable design, straightforward interfaces, the inclusion of robust and good quality analysis components, and not requiring use of a large amount of associated baggage.
Journal ArticleDOI
Divergence measures based on the Shannon entropy
TL;DR: A novel class of information-theoretic divergence measures based on the Shannon entropy is introduced, which do not require the condition of absolute continuity to be satisfied by the probability distributions involved and are established in terms of bounds.
Proceedings ArticleDOI
Earthquake shakes Twitter users: real-time event detection by social sensors
TL;DR: This paper investigates the real-time interaction of events such as earthquakes in Twitter and proposes an algorithm to monitor tweets and to detect a target event and produces a probabilistic spatiotemporal model for the target event that can find the center and the trajectory of the event location.