Sharanjit Kaur

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Continually advancing technology has made it feasible to capture data online for onward transmission as a steady flow of newly generated data points, termed as data stream. Continuity and unboundedness of data streams make storage of data and multiple scans of data an impractical proposition for the purpose of knowledge discovery. Need to learn structures(More)
UNLABELLED Acamprosate with dual mechanism of action as glutamate antagonist and GABA agonist can be a potential target to decrease the severity of sensorineural tinnitus. OBJECTIVE (1)To study the effectiveness of acamprosate in providing subjective relief and objective improvement in patients having tinnitus of sensorineural origin. (2) To evaluate the(More)
Recent advances in the development of data parallel platforms have provided a significant thrust to the development of scalable data mining algorithms for analyzing massive data sets that are now commonplace. Scalable clustering is a common data mining task that finds consequential applications in astronomy, biology, social network analysis and commercial(More)
OBJECTIVE To analyze the trend in maternal mortality ratio in a tertiary care centre and the effect of various maternity schemes on it. MATERIALS AND METHODS Retrospective analysis of all maternal deaths occurring in the Guru Gobind Singh Medical College & Hospital, Faridkot, Punjab, India was done from Jan 2010 to Dec 2012. Every maternal death was(More)
Mixed germ cell tumours of the ovary are malignant neoplasms of the ovary comprising of two or more types of germ cell components. Most of the malignant mixed germ cell tumours consists of dysgerminoma accompanied by endodermal sinus tumours, immature teratoma or choriocarcinoma. There are only few case reports of mixed germ cell tumours with different(More)
Emergence of MapReduce (MR) framework for scaling data mining and machine learning algorithms provides for Volume, while handling of Variety and Velocity needs to be skilfully crafted in algorithms. So far, scalable clustering algorithms have focused solely on Volume, taking advantage of the MR framework. In this paper we present a MapReduce algorithm—data(More)