Abstract. Many applications of machine learning involve sparse highdimensional data, where the number of input features is (much) larger than the number of data samples, d n. Predi...
This paper describes how to increase the efficiency of inductive data mining algorithms by replacing the central matching operation with a marker propagation technique. Breadth-fi...
Abstract. Leveraging the power of increasing amounts of data to analyze customer base for attracting and retaining the most valuable customers is a major problem facing companies i...
Zhiyuan Yao, Annika H. Holmbom, Tomas Eklund, Barb...
: This paper contains description of an knowledge discovery experiment performed in radio planning department of one of Polish celular telecom providers. The results of using vario...
Abstract-- The problem of private information "leakage" (inadvertently or by malicious design) from the myriad large centralized searchable data repositories drives the n...
Lalitha Sankar, S. Raj Rajagopalan, H. Vincent Poo...