Anil Rajput

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Data mining is the task of discovering interesting patterns from large amounts of data. There are many data mining tasks, such as classification, clustering, association rule mining, and sequential pattern mining. Many frequent sequential traversal pattern mining algorithms have been developed which mine the set of frequent subsequences traversal pattern(More)
— Fuzzy Mathematics has seen an enormous growth since the introduction of notion of fuzzy sets by Zadeh in 1965. Kramosil and Michalek introduced the notion of fuzzy metric spaces which was later modified by George and Veeramani and others. The notion of intuitionistic fuzzy metric spaces was introduced by Park in 2004. Many authors have studied fixed point(More)
In this paper, a new iterative scheme for approximating common fixed point of three asymptotically nonexpansive mapping is defined and we have proved weak and strong convergence theorems in a uniformly convex Banach space. A two-step iteration scheme for asymptotically nonexpansive mappings in uniformly convex Banach space includes Ishikawa type and Mann(More)
Data mining is a process of extracting information from a dataset and transform it into understandable structure for further use, also it discovers patterns in large data sets. Data mining has number of important techniques such as preprocessing, classification. Classification is one such technique which is based on supervised learning.. diabetic is a life(More)
Skyline Join approach in its Naïve age work as it computes join first and then apply skyline computation to find corresponding skyline objects. Considering increase in cardinality and dimensionality of join table the cost of computing skyline in a non-reductive join relation is costlier than that of on single table. Most of the existing work on skyline(More)
The study of theory of fuzzy sets was initiated by Zadeh in 1965. Since then many authors have extended and developed the theory of fuzzy sets in the fields of topology and analysis. The notion of fuzzy metric spaces has very important applications in quantum particle physics. As a result many authors have extended the Banach's Contraction Principle to(More)
Decrease in hardware costs and increase in computer networking technologies have led to the exponential growth in the use of large-scale parallel and distributed computing systems. One of the biggest issues in such systems is the development of effective techniques/algorithms for the distribution of the processes/load of a parallel program on multiple hosts(More)
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