An Efficient Algorithm for Mining Frequent Patterns
Abstract:
Mining frequent patterns are one of the most important research topics in data mining. The function is to mine the transactional data which describes the behavior of the transaction. In an online business or in an online shopping the customers can purchase items together. Frequent patterns are patterns such as item sets, subsequences or substructures that appear in a data set frequently. Many efficient algorithms were developed based on the data structure a ....etc

[:=Read Full Message Here=:]

Abstract:
Frequent pattern mining is a heavily researched area in the field of data mining
with wide range of applications. One of them is to use frequent pattern discovery methods
in Web log data. Discovering hidden information from Web log data is called Web usage
mining. The aim of discovering frequent patterns in Web log data is to obtain information
about the navigational behavior of the users. This can be used for advertising purposes, for
creating dynamic user profiles etc. In this paper three pattern mining approaches are ....etc

[:=Read Full Message Here=:]

A Novel Algorithm for Hiding Sensitive Frequent Itemsets
Chih-Chia Weng, Shan-Tai Chen*
, Yuan-Chung Chang
Dept. of Information Science, Chung Cheng Institute of Technology, National Defense University


*
Dept. of Information Science, Chung Cheng Institute of Technology, National Defense University
No. 190, Sanyuan 1st
St., Tashi, Taoyuan, Taiwan, R.O.C.
Tel : +886-3-3809331 ext 209 (O)
Fax : +886-3-3806737
E-mail : [email protected]


Abstracts - With rapid advance of the network and data mini ....etc

[:=Read Full Message Here=:]

hello........
i am Rupa devi pursuing b-tech final year (IT branch) from a JNTU affliated college and i would request you to post or mail the document related to the project title as mentioned.
and my problem regarding this project is that i am not able to understand the algorithm present in it and how i need to implement it.I know java programming language and i am doing my project haf way through .
so please post the related information about it .

Abstract :This paper presents the IMine index, a general and compact structure which provi ....etc

[:=Read Full Message Here=:]

hello........
i am Rupa devi pursuing b-tech final year (IT branch) from a JNTU affliated college and i would request you to post or mail the document related to the project title as mentioned.
and my problem regarding this project is that i am not able to understand the algorithm present in it and how i need to implement it.I know java programming language and i am doing my project haf way through .
so please post the related information about it .

Abstract :This paper presents the IMine index, a general and compact structure which provi ....etc

[:=Read Full Message Here=:]

Abstract.
We present novel space and time-efficient algorithms for finding frequent items over general update streams. Our algorithms are based on a novel adaptation of the popular dyadic intervals method for finding frequent items. The algorithms improve upon existing algorithms in both theory and practice.
1 Introduction
There is a growing class of applications in areas of business and scientific data processing that continuously monitor large volumes of rapidly arriving data for detecting user-programmed scenarios, some o ....etc

[:=Read Full Message Here=:]

ABSTRACT
Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special problems of text clustering: very high dimensionality of the data, very large size of the databases and understandability of the cluster description. In this paper, we introduce a novel approach which uses frequent item (term) sets for text clustering. Such frequent sets can be efficiently discovered using algorithms for associa ....etc

[:=Read Full Message Here=:]

DESCRIPTION:
A data stream is a massive, open-ended sequence of data elements continuously generated at a rapid rate. Mining data streams is more difficult than mining static databases because the huge, high-speed and continuous characteristics of streaming data. In this paper, we propose a new one-pass algorithm called DSM-MFI (stands for Data Stream Mining for Maximal Frequent Itemsets), which mines the set of all maximal frequent itemsets in landmark windows over data streams.
The proposed algorithm DSM-MFI ....etc

[:=Read Full Message Here=:]

Abstract:

Data mining refers to extracting or mining knowledge from large amount of data. It helps in discovering the frequent patterns. This knowledge can be help in making business decisions conventional data mining techniques were proposed to be in efficient, the source of data is incremental in nature and also they need to be re executed every time which in turn multiple database scans.

In this paper, we propose a novel data structure called CATS Tree to suit for continuously growing data sets, based on association rule mining with in ....etc

[:=Read Full Message Here=:]

Discovering Frequent Agreement Subtrees from Phylogenetic Data

Abstract—
We study a new data mining problem concerning the discovery of frequent agreement subtrees (FASTs) from a set of phylogenetic trees. A phylogenetic tree, or phylogeny, is an unordered tree in which the order among siblings is unimportant.
Furthermore, each leaf in the tree has a label representing a taxon (species or organism) name, whereas internal nodes are unlabeled. The tree may have a root, representing the common ancestor of all species in the tree, or ....etc

[:=Read Full Message Here=:]