Book ChapterDOI
Privacy-Preserving Data Mining in Spatiotemporal Databases Based on Mining Negative Association Rules
K. S. Ranjith,A. Geetha Mary +1 more
- pp 329-339
TLDR
The mathematical calculation was done and proved that this approach is best for mining association rules for spatiotemporal databases based on the mining negative association rules and cryptography with low storage and communication cost.Abstract:
In the real world, most of the entities are involved with space and time, from any starting point to the end point of the space. The conventional data mining process is extended to the mining knowledge of the spatiotemporal databases. The major knowledge is to mine the association rules in the spatiotemporal databases; the traditional approaches are not sufficient to do mining in the spatiotemporal databases. While mining the association rules, the privacy is the main concern. This paper proposed privacy preserved data mining technique for spatiotemporal databases based on the mining negative association rules and cryptography with low storage and communication cost. In the proposed approach first, the partial support for all the distributed sites is calculated, and then finally, the actual support was calculated to achieve privacy preserve data mining. The mathematical calculation was done and proved that this approach is best for mining association rules for spatiotemporal databases.read more
Citations
More filters
Journal ArticleDOI
Privacy Preserving Data Mining Framework for Negative Association Rules: An Application to Healthcare Informatics
TL;DR: Experiments with benchmark healthcare datasets show that the suggested privacy preserving data mining (PPDM) method outperforms existing algorithms in terms of Hiding Failure (HF), Artificial Rule Generation (AR), and Lost Rules (LR).
Journal ArticleDOI
An Adaptive Privacy Preserving Framework for Distributed Association Rule Mining in Healthcare Databases
TL;DR: In this paper , the Tabu-genetic optimization paradigm was used for negative association rule mining in vertically partitioned healthcare datasets that respects users' privacy, and the applied approach dynamically determines the transactions to be interrupted for information hiding, instead of predefining them.
References
More filters
Proceedings ArticleDOI
Mining Negative Association Rules in Distributed Environment
TL;DR: The papers presents privacy preserving data mining algorithms operating over vertically partitioned database using the concepts of distribution privacy preservation and also reduce the time and space complexity with zero percentage of data leakage.
Posted Content
An Introduction, Reference Models, Applications, Open Challenges in Internet of Things
TL;DR: Three Levels, Five Level and Seven Level Reference models is discussed and the open challenges that require for designing the standards, communication models, Etc. to develop a Smart IoT applications are discussed.
Posted Content
A Survey on Secure Connectivity Techniques for Internet of Things Environment
TL;DR: In this paper, the authors addressed the various existing secure connectivity techniques with advantages and disadvantages, that which can be used to direct Research towards development of secure connectivity Techniques for IoT nodes, while accomplishing the secure connectivity of things in IoT, need to consider all the security parameters like (confidentiality, authentication, integrity, etc.).
Proceedings ArticleDOI
The application of database mining techniques to data fusion in spatial databases
TL;DR: Algorithms developed for the identification of frequent itemsets in the relational databases can be used to fuse complex two dimensional objects from large amounts of range data collected with ultrasonic sensors, and two algorithms are presented that use this approach to construct polylines and polygons from ultrasonic range data.