CONSUMER BEHAVIOR ANALYSIS BY GRAPH MINING TECHNIQUE
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This paper concerns an actual case of the business application of graph mining techniques to purchase history data that employs the use of an active mining process and the verification of the practical utility of the final results. In the case of data mining processes used up to
This paper represents a technique for recovering the Software Architecture based on Graph Pattern Matching by the help of mining techniques. Generally Software Architecture is represented in terms of graphs with set of vertices and edges. Finding the frequent data sets is the maj
Text classification is the problem of assigning pre-defined class labels to incoming, unclassified documents. The class labels are defined based on a set of examples of pre-classified documents used as a training corpus. Various machine learning, information retrieval and probabi
SCHMIDT, MATTHEW C. Scalable Graph-Mining Techniques with Applications to Systems Biology. (Under the direction of Nagiza F. Samatova.) Genetic engineers often seek to modify the genome of prokaryotic organisms in order to improve their efficiency in certain industrial processes.
A common problem for many companies, like retail stores, it is to find sets of products that are sold together. The only source of information available is the history of sales transactional data. Common techniques of market basket analysis fail when processing huge amounts of sc
Graphs appear in several settings, like social networks, recommendation systems, computer communication networks, gene/protein biological networks, among others. A large amount of graph patterns, as well as graph generator models that mimic such patterns have been proposed over t