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Physical therapy has a lot of importance for the well being and a better quality of living for an elderly patient. One integral constituent of any patient regime is the home-based exercise that a patient works on in a much comfortable environment. Although the benefits are well known, there is a big lag between the exercises prescribed by the therapists and the ones actually done by the patient. There...
Article presents method of storing and processing Big Data using object-oriented datatype in commercial relational database server. Methodology was presented based on genomic data. Additionally, some methods of pattern matching implemented in the object were described and commented. Due to set of numerical experiments based on real data the efficiency of the system was testified. Obtain results shows...
Word sense disambiguation is the process of identifying existence of polysemous words in the text and disambiguating the appropriate sense satisfying the given context in Kannada language. The proposed methodology uses the synonyms of the target word and its surrounding words' gloss in combination with part of speech tagging to determine the overlap between the senses of the polysemous word or the...
In this paper, we addressed in social network visualization for people's interest in music. This visualization system designed for interest in music on social networks provides several capabilities: (A) visualization for friends who share the same interest in music, (B) to group people who share the same interest in music into categories, and (C) to recommend songs function for an increase in the...
Crime pattern theory emphasize how crime appear from Spatio-temporal method. To get knowledge on crimes, it has to be studied in terms of space and time. Crime patterns and crime related activities research those spatio (location) distribution of crimes, omitting the temporal (time) dimensions. Exactly separation of crimes by space and time, example hour of a specific day, day of a specific week,...
This paper explores the causality and responsibility problem (CRP) for the non-answers to probabilistic reverse skyline queries (PRSQ). Towards this, we propose an efficient algorithm called CP to compute the causality and responsibility for the non-answers to PRSQ. CP first finds candidate causes, and then, it performs verification to obtain actual causes with their responsibilities, during which...
The automatic detection of electrocardiogram waves presents an important step for cardiac disease diagnosis. In this work, we developed an algorithm for locating the waveform boundaries by using the empirical mode decomposition which has interesting properties concerning the pseudo periodic signals. The introduced method allows identifying an appropriate and optimum set of intrinsic mode functions...
DBpia is the largest digital-bibliography service provider in Korea. It provides several convenience functions for researchers. DBpia users (i.e., researchers) can search for papers via several search routes such as publications, publishers, authors, and keywords. Although the researchers can exploit the search functions, they may still have a number of search results as candidate papers to read....
Data on World Wide Web has been growing in an exponential manner. This raises a severe concern on information overload challenges for the users. Retrieving the most relevant information from the web as per the user requirement has become hard because of the large collection of heterogeneous documents. One approach to overcome this is to personalize the information available on the Web according to...
QRS detection is becoming more popular in detecting the heart beat rate. The improvement is done by using the new filter. This research work focus on providing better performance in heart beat detection algorithm by using hybrid filter (improving MaMeMi filter using the first order derivative filter). An enhanced algorithm has been proposed to enhance the performance of QRS detection. Different parameters...
One of the important approach in data mining is sequential pattern mining that is used for discovering behaviors of sequential databases. There are various challenges in sequential pattern mining such as efficiency and effectiveness. In this paper different sequential pattern mining algorithm are discussed such as GSP, FreeSpan, PrefixSpan, and CAI-PrefixSpan to improve performance to finding sequential...
Sentiment analysis is the process of identifying people's point of view and its impact on them. It determines whether apiece of writing is positive, negative, or neutral. Now-a-days one of the most common tool for sharing opinion is the Internet. This opinion may be different moods of people or reviews about products and so on. People share their views on social-networking websites which proves to...
In today's life travelling has become a passion. But travelling is not so easy unless we know the place and its details. When we visit a new place in order to know the details of that place, we usually take help of native people at times there might arise a situation where we cannot communicate with them. In other ways we browse about the place this approach may also lead to confusion and does not...
Algorithmic composition refers to the process of composing a melody automatically using algorithms. A bulk of methods have been proposed for this task. Among them, a novel idea is to utilize the correlation information between the pitches of melodies and the tones of lyrics for melody composition. Unfortunately, the existing method adopting this idea suffers from several severe shortcomings and thus...
Sequential pattern mining is valuable approach to uncover consumer buying behaviour from huge sequence database. Weather prediction, web log analysis, stock market analysis, scientific research, sales analysis, and so on are the application of sequential pattern mining. The pattern that is recent and profitable can't discover by conventional sequential pattern mining. So, RFM-based sequential pattern...
Data mining is known for discovering frequent sub-structures. After finding certain similarity, it is easy to merge the sub-structures to form a larger structure for proper information extraction. To carry out this process, we have proposed new algorithms which merge two community subgraphs in an efficient and simpler way. For our work, we have followed graph matching technique by matching one-to-one...
This paper discusses about the effects of bit plane extraction in fingerprint recognition. An alternative approach to recognise a fingerprint from extracted bit plane is analysed in attempt to find the best bit plane used for recognition. An 8-bit greyscale fingerprint image is extracted into 8 different bit planes. Each bit plane of the images is then used as the input image for recognition. A fingerprint...
UF-growth is a tree-based exact algorithm for mining frequent patterns from uncertain data. While it directly calculates the expected support of an item set, it requires a significant amount of storage space to capture all existential probability values among the items. To eliminate the extra space requirement of UF-growth, the CUF-growth algorithm combines nodes with the same item by storing an upper...
Data stored in educational database is increasing day by day. Data mining algorithms can be used to find hidden patterns from the student's database. These patterns can be used to find academic performance of students. The main aim of this study was to determine factors that influence the student's performance. This paper proposes Generalized Sequential Pattern mining algorithm for finding frequent...
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