In this survey paper, we discuss biomedical ontologies and major text mining techniques applied to biomedicine and healthcare. Biomedical ontologies such as UMLS are currently being adopted in text mining approaches because they provide domain knowledge for text mining approaches. In addition, biomedical ontologies enable us to resolve many linguistic problems when text mining approaches handle...

1,2 Department of Computer Engineering 1,2 Ipcowala Institute of Engineering & Technology, Dharmaj, Anand, Gujarat, India 388430 Abstract— Nowadays, banking frauds like money laundering becomes more and more sophisticated. Money laundering is a process by which legally obtained funds are given the appearance of having been legally obtained. There are various techniques for detecting the differe...

clustering is one of the known techniques in the field of data mining where data with similar properties is within the set of categories. k-means algorithm is one the simplest clustering algorithms which have disadvantages sensitive to initial values of the clusters and converging to the local optimum. in recent years, several algorithms are provided based on evolutionary algorithms for cluster...

This paper presents a brief review of the application of various Data Mining techniques and their advances in the design, development and application of Intrusion Detection Systems (IDS) for protecting computer and communication networks from intruders. Data mining techniques are used to monitor and analyze large amount of network data & classify these network data into anomalous and normal dat...

Swarm Intelligence (SI) is an innovative artificial intelligence technique for solving complex optimization problems. Data clustering is the process of grouping data into a number of clusters. The goal of data clustering is to make the data in the same cluster share a high degree of similarity while being very dissimilar to data from other clusters. Clustering algorithms have been applied to a ...