Narendra Kumar Kamila

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The feature selection addresses the issue of developing accurate models for classification in data mining. The aggregated data collection from distributed environment for feature selection makes the problem of accessing the relevant inputs of individual data records. Preserving the privacy of individual data is often critical issue in distributed data(More)
This paper explores the possibility of classification based on Pareto multi-objective optimization. The efforts on solving optimization problems using the Pareto-based MOO methodology have gained increasing impetus on comparison of selected constraints. Moreover we have different types of classification problem based on optimization model like single(More)
This paper proposes a layered modular architecture to adaptively perform data mining tasks in large sensor networks. The architecture consists in a lower layer which performs data aggregation in a modular fashion and in an upper layer which employs an adaptive local learning technique to extract a prediction model from the aggregated information. The(More)
This paper addresses the selection of sub-feature from each feature using fuzzy methodologies maintaining the privacy during collection of data from participating parties in distributed environment. Based on fuzzy random variables conditional expectation is used in which two fuzzy sets are generated using Borel set that helps to determine sub-feature within(More)
Depression a latest epidemic of modern era has always drawn the attention of researcher's to find & evaluate the level, causes & prevention. According to psychiatrists it's not a psychological disorder but it creates the stimulation & simulation of co-ordination failure. The worst case of the leading depression level may contemplates a person to(More)
This paper proposed a local privacy preserving for feature selection in decentralized distributed environment. It considered each peer performed about own computation for feature selection with its own privacy constraints in decentralized way. The sum amount of records of each peer was checked by sum of each individual sub-feature with respect to feature(More)
This paper proposed a information sharing technique maintaining privacy preservation in distributed data mining. The theoretical principles proposed to develop information sharing technique to find the best choice of objective for goal of the game with distributed manner. The multi-objective evaluation method among the parties data based on best and worst(More)
Meta-cognition allows one to monitor and adaptively control cognitive processes. It guides people to select, evaluate, revise, and abandon cognitive tasks, goals, and strategies. Also, meta-cognition can play an important role in human-like software agents. It includes meta-cognitive knowledge, meta cognitive monitoring, and meta cognitive regulation. The(More)
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