Traditional drug production is a long and complex process that leads to new drug
production. The virtual screening technique is a computational method that allows chemical …

In this work, a novel biclustering-based approach to data imputation is proposed. This
approach is based on the Mean Squared Residue metric, used to evaluate the degree of …

Cluster analysis, or clustering, refers to the analysis of the structural organization of a data
set. This analysis is performed by grouping together objects of the data that are more similar …

Query expansion is the process of reformulating an original query to improve retrieval
performance in information retrieval systems. Relevance feedback is one of the most useful …

In this paper, a review of the conceptual and practical aspects of the aiNet (Artificial Immune
Network) family of algorithms will be provided. This family of algorithms started with the aiNet …

A common editorial task when preparing scientific monographs, books, even long articles
such as surveys, is to prepare a Back-of-the-Book index (BoBI). In this paper we study the …

Biclustering and coclustering are data mining tasks capable of extracting relevant
information from data by applying similarity criteria simultaneously to rows and columns of …

The paper deals with an application of the two types of hybrid artificial immune system
(HAIS). First hybridization is based on hyper mutation gradient second is based on kriging …

Although the missing data problem has been studied for many years, it is still a relevant and
challenging problem nowadays. Data can be missing for a variety of reasons, and there are …

Many methods have developed to capture the biological similarity between two compounds
for use in drug discovery. A variety of similarity metrics have introduced, Tanimoto coefficient …