Privacy-preserving algorithms for distributed mining of frequent itemsets
نویسندگان
چکیده
منابع مشابه
Privacy-preserving algorithms for distributed mining of frequent itemsets
Standard algorithms for association rule mining are based on identification of frequent itemsets. In this paper, we study how to maintain privacy in distributed mining of frequent itemsets. That is, we study how two (or more) parties can find frequent itemsets in a distributed database without revealing each party’s portion of the data to the other. The existing solution for vertically partitio...
متن کاملEfficient, Accurate and Privacy-Preserving Data Mining for Frequent Itemsets in Distributed Databases
Mining distributed databases is emerging as a fundamental computational problem. A common approach for mining distributed databases is to move all of the data from each database to a central site and a single model is built. This approach is accurate, but too expensive in terms of time required. For this reason, several approaches were developed to efficiently mine distributed databases, but th...
متن کاملDistortion Based Algorithms For Privacy Preserving Frequent Item Set Mining
Data mining services require accurate input data for their results to be meaningful, but privacy concerns may influence users to provide spurious information. In order to preserve the privacy of the client in data mining process, a variety of techniques based on random perturbation of data records have been proposed recently. We focus on an improved distortion process that tries to enhance the ...
متن کاملEfficient Algorithms for Mining Share-frequent Itemsets
Itemset share has been proposed to evaluate the significance of itemsets for mining association rules in databases. The Fast Share Measure (FSM) algorithm is one of the best algorithms to discover all share-frequent itemsets efficiently. However, FSM is fast only when dealing with small datasets. In this study, we shall propose a revised version of FSM, called the Enhanced FSM (EFSM) algorithm ...
متن کاملFast Algorithms for Mining Frequent Itemsets
................................................................................................................... I Table of
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Information Sciences
سال: 2007
ISSN: 0020-0255
DOI: 10.1016/j.ins.2006.08.010