Distributed higher order association rule mining using information extracted from textual data
نویسندگان
چکیده
منابع مشابه
Association Rule Mining on Distributed Data
Applications requiring large data processing, have two major problems, one a huge storage and its management and second processing time, as the amount of data increases. Distributed databases solve the first problem to a great extent but second problem increases. Since, current era is of networking and communication and people are interested in keeping large data on networks, therefore, researc...
متن کاملDistributed Association Rule Mining
Data mining is an iterative and interactive process that explores and analyzes voluminous digital data to discover valid, novel, and meaningful patterns (Mohammed, 1999). Since digital data may have terabytes of records, data mining techniques aim to find patterns using computationally efficient techniques. It is related to a subarea of statistics called exploratory data analysis. During the pa...
متن کاملData sanitization in association rule mining based on impact factor
Data sanitization is a process that is used to promote the sharing of transactional databases among organizations and businesses, it alleviates concerns for individuals and organizations regarding the disclosure of sensitive patterns. It transforms the source database into a released database so that counterparts cannot discover the sensitive patterns and so data confidentiality is preserved ag...
متن کاملDistributed Higher Order Text Mining
-The burgeoning amount of textual data in distributed sources combined with the obstacles involved in creating and maintaining central repositories motivates the need for effective distributed information extraction and mining techniques. Recently, as the need to mine patterns across distributed databases has grown, Distributed Association Rule Mining (D-ARM) algorithms have been developed. The...
متن کاملAssociation Rule Mining from XML Data
With the growing usage of XML in the World Wide Web and elsewhere as a standard for the exchange of data and to represent semistructured data, there is an imminent need for tools and techniques to perform data mining on XML documents and XML repositories. In this paper we look at the various approaches for association rule mining from XML data. We present a Java-based implementation of the Apri...
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: ACM SIGKDD Explorations Newsletter
سال: 2005
ISSN: 1931-0145,1931-0153
DOI: 10.1145/1089815.1089820