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Content comprehension in text is one of the challenges in natural language processing. Understanding text at a low level has become increasingly relevant due to the surge in the amount of content on the web space, where most of it is stream data. In our case, data streams are considered to be an ordered sequence of short and noisy textual messages that are read once or fewer number of times, for example...
Network intrusion detection is critical component of network management for security, quality of service and other purposes. These systems allow early detection of network intrusion and malicious activities; based on this detection, appropriate actions can be applied to manage these attacks. Several network intrusion detection systems are proposed and evaluated and many of them are currently in use...
Social media is gaining popularity due to its information spreading feature. Twitter is one of the most powerful source of information sharing because of its massive users. Consequently, Twitter has become a popular resource in order to analyze the data for different research purposes like social engineering, sentiment analysis, business purposes etc. due to its easy data availability. In Twitter,...
Early detection of onset and outbreak of infectious diseases has paramount importance in containing such diseases before they turn into epidemics. The incredible growth in popularity and spatial resolution of coverage have made micro-blogging sites like Twitter a promising source of information for assessing the evolution of intensity of such diseases within a locality. However, identifying tweets...
In protein fold recognition problem an effort is made to assign a fold to given proteins, this is of practical importance and has diverse application in the field of bioinformatics such as the discovery of new drugs, the individual implication of amino acid in a protein and bringing improvement in a specific protein function. In this paper, we have studied various machine learning techniques for protein...
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