
Dharmesh J BhalodiyaAtmiya Institute Of Technology & Science · Department of Computer Engineering
Dharmesh J Bhalodiya
M. Tech
About
12
Publications
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22
Citations
Introduction
Additional affiliations
July 2014 - present
May 2013 - June 2014
Publications
Publications (12)
Frequent itemset mining algorithms mine subsets of items that
appear frequently in a collection of sets. FIM is a key investigation
in numerous data mining applications, and the FIM tools are
among the most computationally demanding in data mining. In
this research paper we present a new approach to represent
candidate in parallel Frequent Itemset...
Periodic pattern mining consists of finding patterns that exhibit either complete or partial cyclic repetitions in a time series. Past studies on partial periodic search focused on finding regular patterns, i.e., patterns exhibiting either complete or partial cyclic repetitions throughout a series. An example regular pattern of Bat, Ball stats that...
In Data Mining, Association Rule Mining is one of the most influential tasks. Several analyses and algorithm of it provides knowledge to investors or marketing manager to analysis and predict their market field and managing their records. But these procedures are not enough to originate more productive results. The traditional high utility itemset...
Association Rule Mining is one of the dominant tasks of Data Mining. Several analyses and algorithm of it provides knowledge to investors to predict their market field and managing their records. But these techniques are not enough to generate more productive results. The traditional Apriori algorithm occupies more space, memory and time for the ca...
Association Rule Mining from a large amount of data is one of the most important issues in data mining, because the discovered knowledge is commercially valuable. Sometimes companies involved in the similar business are often willing to co-operate each other so that they can perform data mining to extract knowledge from combined datasets. Generally...
Licence plate recognition (LPR) is the system of getting of vehicle’s licence plate data from a image or a group of images. The acquired data can be utilized with alternately without a database in numerous applications, for example, electronic pay system such a toll payment, parking charges.Different types of camera may be used to take images for L...
Cluster analysis plays a critical role in a wide variety of applications, but it is now facing the Computational challenge due to the continuously increasing data volume. Parallel computing is one of the most promising solutions to overcoming the computational challenge. In this paper an effort has been made to conduct detail survey of three differ...
Frequent pattern mining is a discipline with many
practical applications, where massive computational power
and speed are required. Many state-of-the-art frequent
pattern mining applications have inefficient solutions for
both shared memory and multiprocessor systems due to
problems with parallelism and memory. One of possible
solutions to th...
Frequent itemset mining (FIM) is a core area for many data mining applications as association rules computation, clustering and correlations, which has been comprehensively studied over the last decades. Furthermore, databases are becoming gradually larger, thus requiring a higher computing power to mine them in reasonable time. At the same time, t...
Frequent itemset mining (FIM) is a core area for many data mining applications as association rules computation, clustering and correlations, which has been comprehensively studied over the last decades. Furthermore, databases are becoming gradually larger, thus requiring a higher computing power to mine them in reasonable time. At the same time, t...
Data mining place viral aspect in many of the applications like market –basket analysis, fraud detection etc.
In data mining association rule mining and frequent pattern mining, both are key feature of market-basket analysis. In a given large amount of transnational database where each record consists of items purchased by customer at store. One o...
Questions
Questions (4)
Hello friends.
like always, you helped me. i ask another question.
we are conduction survey on GPU based database. for that we need SQL processing algorithms and respective Paper/article published still now...
I have also tried and i get following database
So please help me by replaying other database (SQL Query processing algorithms) link
and Thanks in Advance...
Hello All,
I am new to Image Processing domain, I also wanted to learn from scratch to advance level. So please suggest some links or books that will help me. If you know some blogs and video to refer than also welcome.
I have CUDA enabled GPUs, i knew the cuda Architecture and programming model. My plan is to learn Image processing and accelerate the algorithms on CUDA..
Please help me. (as you always did in past)
Hello all ,
I try to conduct one survey on MRI Algorithms proposed on Graphics Processors.
So , if you have some Good survey papers or Web site links or source code then please answer ,
Thank you!!!
Projects
Projects (2)