Anitha S. Pillai

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Named Entity Recognition (NER) is a sub task of Information Extraction (IE) used to identify and classify the names in any given data. Earlier studies were mostly based on hand written rules where as now-a-days Machine Learning models such as Hidden Markov Model (HMM), Maximum Entropy (MaxEnt), Maximum Entropy Markov model (MEMM), Support Vector Machine(More)
Along with rapid technological advancements, the need for developing suitable frameworks for protecting privacy of individuals becomes essential for the wide-spread acceptance of knowledge-based applications. Privacy Preserving Data Mining has become an active area of research recently to address privacy issues whenever the data is to be provided for a(More)
Many private organizations are reluctant to share the health related information to the researchers fearing loss of privacy of data. The non availability of data has potential negative implications for the advancement of medical science, the development of new pharmaceutical products, better diagnosis of disease and for national and micro-level health(More)
Data in the healthcare sector is growing beyond dealing capacity of the health care organizations and is expected to increase significantly in the coming years. Majority of the Healthcare data is often unstructured, exists in silos and resides in imaging systems, medical prescription notes, insurance claims data, EPR (Electronic Patient Records) etc.(More)
Commodity trading is one of the most popular resources owning to its eminent predictable return on investment to earn money through trading. The trading includes all kinds of commodities like agricultural goods such as wheat, coffee, cocoa etc., and hard products like gold, rubber, crude oils etc.,. The investment decision can be made very easily with the(More)
Requirements Elicitation is a practice [1] that aids in determining the needs of customers, users and stakeholders in building systems and software that can result in a high probability of satisfying such needs. Requirements Elicitation is the most complex part of the Requirements Engineering (RE) phases and demands as much attention, especially in Global(More)
Domain - specific search focuses on one area of knowledge. Applying broad based ranking algorithms to vertical search domains is not desirable. The broad based ranking model builds upon the data from multiple domains existing on the web. Vertical search engines attempt to use a focused crawler that index only relevant web pages to a predefined topic. With(More)