Browsing Computer Science & Engineering by Subject "Data mining"
Now showing items 1-10 of 10
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A Characterization Study of Arabic Twitter Data with a Benchmarking for State-of-the-Art Opinion Mining Models
( Association for Computational Linguistics (ACL) , 2017 , Conference Paper)Opinion mining in Arabic is a challenging task given the rich morphology of the language. The task becomes more challenging when it is applied to Twitter data, which contains additional sources of noise, such as the use ... -
A meta-framework for modeling the human reading process in sentiment analysis
( Association for Computing Machinery , 2016 , Article)This article introduces a sentiment analysis approach that adopts the way humans read, interpret, and extract sentiment from text. Our motivation builds on the assumption that human interpretation should lead to the most ... -
Automatic Concept Extraction Based on Semantic Graphs From Big Data in Smart City
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)With the rapid development of smart cities, various types of sensors can rapidly collect a large amount of data, and it becomes increasingly important to discover effective knowledge and process information from massive ... -
CAT: Credibility Analysis of Arabic Content on Twitter
( Association for Computational Linguistics (ACL) , 2017 , Conference Paper)Data generated on Twitter has become a rich source for various data mining tasks. Those data analysis tasks that are dependent on the tweet semantics, such as sentiment analysis, emotion mining, and rumor detection among ... -
Comparative Evaluation of Sentiment Analysis Methods Across Arabic Dialects
( Elsevier , 2017 , Conference Paper)Sentiment analysis in Arabic is challenging due to the complex morphology of the language. The task becomes more challenging when considering Twitter data that contain significant amounts of noise such as the use of Arabizi, ... -
DroidNative: Automating and optimizing detection of Android native code malware variants
( Elsevier Ltd , 2017 , Article)According to the Symantec and F-Secure threat reports, mobile malware development in 2013 and 2014 has continued to focus almost exclusively (~99%) on the Android platform. Malware writers are applying stealthy mutations ... -
Evidence theory-based approach for epileptic seizure detection using EEG signals
( IEEE , 2012 , Conference Paper)Electroencephalogram (EEG) is one of the potential physiological signals used for detecting epileptic seizure. Discriminant features, representing different brain conditions, are often extracted for diagnosis purposes. ... -
Interestingness filtering engine: Mining Bayesian networks for interesting patterns
( Elsevier Ltd , 2009 , Article)In this paper, we present a new measure of interestingness to discover interesting patterns based on the user’s background knowledge, represented by a Bayesian network. The new measure (sensitivity measure) captures the ... -
Performance Comparison of classification algorithms for EEG-based remote epileptic seizure detection in Wireless Sensor Networks
( IEEE Computer Society , 2014 , Conference Paper)Identification of epileptic seizure remotely by analyzing the electroencephalography (EEG) signal is very important for scalable sensor-based health systems. Classification is the most important technique for wide-ranging ... -
Spatiotemporal data mining: a survey on challenges and open problems
( Springer Science and Business Media B.V. , 2022 , Article)Spatiotemporal data mining (STDM) discovers useful patterns from the dynamic interplay between space and time. Several available surveys capture STDM advances and report a wealth of important progress in this field. However, ...