With the advance of information technology, more and more corporations and

In developing LIBSVM, we found that many users have zero machine learning knowledge.. It is unbelievable that many asked what the difference between training and

• Information retrieval : Implementing and Evaluating Search Engines, by Stefan Büttcher, Charles L.A.

In this work, we will present a new learning algorithm called error tolerant associative memory (ETAM), which enlarges the basins of attraction, centered at the stored patterns,

Since the FP-tree reduces the number of database scans and uses less memory to represent the necessary information, many frequent pattern mining algorithms are based on its

We try to explore category and association rules of customer questions by applying customer analysis and the combination of data mining and rough set theory.. We use customer

It is concluded that the proposed computer aided text mining method for patent function model analysis is able improve the efficiency and consistency of the result with

Step 5: Receive the mining item list from control processor, then according to the mining item list and PFP-Tree’s method to exchange data to each CPs. Step 6: According the

(1999), "Mining Association Rules with Multiple Minimum Supports," Proceedings of ACMSIGKDD International Conference on Knowledge Discovery and Data Mining, San Diego,