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Application of Data Mining Techniques in Weather Prediction and Climate Change Studies Abstract-Weather forecasting is a vital application in meteorology and has been one of the most scientifically and technologically challenging problems around the world in the last century. In this paper, we investigate the use of data mining techniques in forecasting maximum temperature, rainfall,…
Collaboratively Tracking Interests for User Clustering in Streams of Short Texts Abstract-In this paper, we aim at tackling the problem of user clustering in the context of their published short text streams. Clustering users by short text streams is more challenging than in the case of long documents associated with them as it is dif?cult…
Crowdsourcing based Description of Urban Emergency Events using Social Media Big Data Abstract-Crowdsourcing is a process of acquisition,integration,and analysis of big and heterogeneous data generated by a diversity of sources in urban spaces, such as sensors, devices,vehicles, buildings, and human. Especially, nowadays, no countries, no communities, and no person are immune to urban emergency events….
Data Mining for Patient Friendly Apnea Detection Abstract-Obstructive Sleep Apnea (OSA) is a common, but severely under-diagnosed sleep disorder that affects the natural breathing cycle during sleep with periods of reduced respiration or no air?ow at all. It is our long-term goal to increase the percentage of diagnosed OSA cases and reduce the time to…
DDoS Attack Detection using Machine Learning Techniques in Cloud Computing Environments Abstract-Cloud computing is a revolution in IT technology that provides scalable, virtualized on-demand resources to the end users with greater ?exibility, less maintenance and reduced infrastructure cost. These resources are supervised by different management organizations and provided over Internet using known networking protocols, standards…
Learning Customer Behaviors for Effective Load Forecasting Abstract-Load forecasting has been deeply studied because of its critical role in Smart Grid. In current Smart Grid, there are various types of customers with different energy consumption patterns. Customer?s energy consumption patterns are referred as customer behaviors. It would signi?cantly bene?t load forecasting in a grid if…
Opinion-Aspect Relations in Cognizing Customer Feelings via Reviews Abstract-Determining a consensus opinion on a product sold online is no longer easy, because assessments have become more and more numerous on the Internet. To address this problem, researchers have used various approaches, such as looking for feelings expressed in the documents and exploring the appearance and…
Using Genetic Algorithm to Improve Classification of Imbalanced Datasets for credit card fraud detection Abstract-With the growing usage of credit card transactions, financial fraud crimes have also been drastically increased leading to the loss of huge amounts in the finance industry. Having an efficient fraud detection method has become a necessity for all banks in…
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