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Advancements in social media technology have resulted in the booming of massive public data. The availability of these huge data sets offers numerous research opportunities for deriving meaningful cause-effect relationships for many applications. One important application domain is the cause of side effects of drugs. In this paper, we applied supervised learning to extract useful cause-and-effect...
Data mining is a process of extracting information and discovering patterns from large amount of data. Crime Analysis can be a lucrative application of data mining. Data mining can play an important role in analyzing and predicting crimes using the data stored in repositories. Crime rate in India is increasing day by day, becoming a topic of major concern, hindering good governance in India. Due to...
In United State several universities and research institutes including the national health institute (NIH) recently started programs aiming for drug discovery. With the initiatives, huge volumes of data have been collected and shared with public free of charge. Those initiatives provide an unprecedented opportunity for data miner and machine learner to study knowledge discovery problems associated...
Question answering systems involve the extraction of answers to a question rather than retrieval of relevant documents. For question answering evaluation, it is necessary that a human assessor decide the correctness of the answers, given that the same answer can be expressed in different ways. Therefore, the use of suitable test collection could help to identify where the systems are performing well,...
Cervical cancer is one of the most preventable/treatable forms of cancer, due to the fact that precursor signs for the disease can be detected in microscopic examination of cervical cells. Currently these examinations are purely visual, but the project reported aims to process the visual images to present them in a complementary auditory form and thereby to improve diagnostic accuracy. Standard mean-shift...
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