International Journal of Science, Engineering and Computer Technology

Sandeep ¹, Priyanka ¹

Affiliations
1 Department of CSE, Guru Jambheshwar University of Science and Technology, Hisar, IN

Abstract

In this paper, a review of dynamic means partition based clustering algorithm for time series data is purposed in which a set of unlabeled time-series are partitioned into groups or clusters where all the objects grouped in the same cluster should be coherent or homogeneous. The proposed system is a prediction system to predict the gold market rates based on the history data set. These systems divide the data set in small fragments and process on each data block separately and conclude them as a single unit. Finally a layered neural network is implemented to filter the data and to derive the conclusion.

Keywords

MLFF, ANN, LMS, ANFIS, MLP.

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Priyanka ¹, Sandeep ¹

Affiliations
1 Department of CSE, Guru Jambheshwar University of Science and Technology, Hisar, Haryana, IN

Abstract

Multimedia databases have attracted academic and industrial interest, and systems such as QBIC (Content Based Image Retrieval system from IBM) have been released. Such systems are essential to effectively and efficiently use the existing large collections of image data in the modem computing environment. The aim of such systems is to enable retrieval of images based on their contents. There have been a lot of fuzzy database papers published. Since then, some new research results in, for example, fuzzy object-oriented databases come out. To investigate these issues and more importantly serve as identifying the direction of fuzzy database study.

Keywords

CBIR, Inconsistency Imprecision, Vagueness, Uncertainty, Ambiguity QBIC.

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Sandeep ¹, Priyanka ¹, Mandeep Kaur ¹

Affiliations
1 Department of CSE, Guru Jambheshwar University of Science and Technology, Hisar, IN

Abstract

Privacy Preserving Data Mining (PPDM) in a broad sense has been an area of research since 1991 both in the public and private sector and has also been discussed at numerous workshops and international conferences. Currently the research is mainly directed towards development of technical methods, such as application of cryptography or the development of specialized algorithms to meet security and privacy requirements for different data mining methods, such as classification or categorisation. So far PPDM has found application in only a few cases. One example is documented in medical research to protect patients' privacy In all cases when data mining is applied in the context of personal data, basic data and data mining results have to be collected, stored and processed in compliance with data protection legislation. This results in responsibilities for data controllers, technical operators and others involved in those business or governmental processes where data mining plays a role.

Keywords

PPDM, K-Anonymity and 1-Diversity.

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