Abstract The Internet of Things massive adoption in many industrial areas in addition to the
requirement of modern services is posing huge challenges to the field of data mining …

P2P lending is a new form of lending where in the lenders and borrowers can meet at a
common platform like Prosper and ZOPA and strike a best deal. While the borrower looks for …

Companies want to extract value from their relational databases. This is the aim of relational
data mining. Propositionalization is one possible approach to relational data mining …

We present a general approach to speeding up a family of multi-relational data mining
algorithms that using ID propagation to obtain the information needed for building decision …

Practical usage of machine learning is gaining strategic importance in enterprises looking
for business intelligence. However, most enterprise data is distributed in multiple relational …

The class imbalance problem is an important issue in classification of Data mining. For
example, in the applications of fraudulent telephone calls, telecommunications …

Directorate General of Customs and Excise (DGCE), an Indonesian Government agency
under the Ministry of Finance, is responsible for ensuring importer or exporter classify their …

Classification is one of the important tasks in data mining in which a model is generated-
based on training dataset and that model is used to predict class label of unknown dataset …

Classification is an important task in data mining and machine learning, which has been
studied extensively and has a wide range of applications. Lots of algorithms have been …

In order to model multi-dimensions and multi-granularities oriented complex systems, this
paper firstly proposes a kind of multi-relational Fuzzy Cognitive Map (FCM) to simulate the …