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The aging world population is a challenge for global healthcare. Caring for the elderly is particularly stressful and difficult for informal caregivers. Accordingly, automated systems to assist informal caregivers will fill a great need. In this paper, a system prototype is developed to provide recommendations for elderly care to informal caregivers applying case-based reasoning (CBR) techniques....
Online discussion forums are popular resource for finding solutions for various problems. Solutions are found in the repositories of forums and their automated extraction is an important task. People are interested only in those forums which contain answers. Effective techniques for mining forums can significantly reduce searching and navigation time to find a solution. This paper describes a methodology...
Bollywood movies have become an important part of South Asian culture. Video musical pieces are integral parts of these movies. The growing ease of hosting multimedia contents online is resulting in a huge number of movie video songs available online. A common user usually likes to search a particular music piece, based on different criteria e.g. genre of a video song, or on-screen actor performing...
In this paper we consider the problem of clustering snippets returned from search engines. We propose a technique to invoke semantic similarity in the clustering process. Our technique improves on the well-known STC method, which is a highly efficient heuristic for clustering web search results. However, a weakness of STC is that it cannot cluster semantic similar documents. To solve this problem,...
Monitoring every single email takes a lot of effort especially when the size of email transaction log is very large. This study proposed to find a wise option to monitor only the contents of important emails. Depth First Search algorithm, multi-digraph, email scoring model, WordNet, and Vector Space Model are used to create a model for filtering important emails and mining email contents. The findings...
This paper describes an approach to automatically detect music and song sequences in movies. Particularly, the system is designed to identify songs in movies, as well as their genre, playback singer and on-screen performing actors. We define the so-called song grammar that a musical sequence typically follows by means of a finite state machine. The observation of 20 most popular movies shows that...
A simple and intuitive model to mine an email transactions log for significant messages and users is presented. No use is made of NLP or semantic analysis. The model is based only on scoring messages and users from a graph-theoretic analysis of the communication pattern represented in the transaction log. Practical experiments indicate the potential of the model.
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