Association Rule Mining over Multiple Databases : Partitioned and Incremental

نویسندگان

  • Hima Valli Kona
  • JungHwan Oh
  • VALLI KONA
  • Anoop Sanka
  • Ramanathan Balachandran
  • Pratyush Mishra
  • Sridhar Reddy
چکیده

To My Parents, Family and Friends iv ACKNOWLEDGMENTS First and foremost, I would like to thank my advisor, Dr. Sharma Chakravarthy, for giving me an opportunity to work on this challenging topic and providing me ample guidance and support through the course of this research. Elkhalifa for their invaluable help and advice during the implementation of this work. I would like to thank all my friends in the ITLAB. I would also like to thank my friends for their support and encouragement. I would also like to thank my parents and sister for their endless love and constant support throughout my academic career without which I would not have reached this

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Recent Survey on Incremental Temporal Association Rule Mining

88 Abstract— One of the most challenging areas in data mining is Association rule mining. Several algorithms have been developed to solve this problem. These algorithms work efficiently with static datasets. But if new records are added time to time to the datasets means if the datasets are incremental in nature, scenario of association rules may changed. Some of the new itemsets may become fre...

متن کامل

Mining Temporal Association Rules with Incremental Standing for Segment Progressive Filter

Association rule mining is a popular data mining technique which dredges up valuable relationships among different items in a dataset. A variant called temporal association rule mining finds relationship between items with respect to particular time periods. Databases are frequently updated; therefore temporal association rules that we discover should be corresponding to the updates in database...

متن کامل

A Study on Incremental Association Rule Mining

Applying data mining techniques to real-world applications is a challenging task because the databases are dynamic i.e., changes are continuously taking place due to addition, deletion, modification etc., of the contained data. Generally if the dataset is incremental in nature, the frequent item sets discovering problem consumes more time. Once in a while, the new records are added in an increm...

متن کامل

Incremental Mining of Association Rules: A Survey

The association rule mining has been very useful in many applications such as, market analysis, web data analysis, decision making, knowing customer trends etc. In transactional databases as time advances, new transactions are being added and obsolete transactions are discarded. Incremental mining deals with generating association rules based on available knowledge (obtained from mining of prev...

متن کامل

Quantifying the Utility of the Past in Mining Large

| Incremental mining algorithms that can eeciently derive the current mining output by utilizing previous mining results are attractive to business organizations since data mining is typically a resource-intensive recurring activity. In this paper, we present the DELTA algorithm for the robust and eecient incremental mining of association rules on large market basket databases. DELTA guarantees...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2003