Contemporary commercial databases are placing an increased emphasis on analytic capabilities. Data mining technology has become crucial in enabling the analysis of large volumes of data. Modern data mining techniques have been shown to have high accuracy ...

Summary: BRAGI is a well-established package for viewing and modeling of three-dimensional (3D) structures of biological macromolecules. A new version of BRAGI has been developed that is supported on Windows, Linux and SGI. The user interface ...

In recent years, indexing, classification, clustering, and anomaly detection of time series data have become topics of great interest within the database/data mining community; within those data mining applications, the measurement of similarity between ...

Drug target identification, being the first phase in drug discovery is becoming an overly time consuming process and in many cases produces inefficient results due to failure of conventional approaches to investigate large scale data. The main goal of ...

The research reported in this paper focuses on integrating analytical and visual methods in order to explore complex patterns in geo-related multivariate data sets and to understand the changes in patterns over time. The goal is to provide techniques ...

This paper presents an algorithm to improve the performance of a spatial operation called 'dissolve' widely used in Geographic Information System (GIS) through spatial database systems. In simple feature models (lacking of persistent topology) executing ...

In this paper we present an algorithm for mining of unordered embedded subtrees. This is an important problem for association rule mining from semi-structured documents, and it has important applications in many biomedical, web and scientific domains. ...

In this paper we study a large query log of more than twenty million queries with the goal of extracting the semantic relations that are implicitly captured in the actions of users submitting queries and clicking answers. Previous query log analyses ...

We characterize particular fuzzy implications, called special implication connectives, which are generated by certain general unary hypothesis automaton (GUHA for short) data mining quantifiers, called special implicational quantifiers.

High-resolution spatio-temporal datasets are being collected every day to record the behaviour of several natural phenomena. However, data-mining techniques are needed to extract relevant patterns from very large repositories and reveal spatial and temporal ...

Data in databases is the outcome of an underlying data generation process (dgp), which is a complex function of unknown number of parameters. A few of these parame- ters may be known and understood by the domain expert or the end-user. The trends hidden ...

A highly modular and uniformly functional development methodology for database applications is introduced. An event-oriented view of the database is adopted recording the observed events directly and treating the state of the environment as derived data. ...

Networks have changed little since the rise and dominance of the IP protocol. Networks are focused on the transmission of transactions and information but have not played a significant role in the processing. They have focused on layers 1 through 4 in ...

Security of computer systems is essential to their acceptance and utility. Computer security analysts use intrusion detection systems to assist them in maintaining computer system security. This paper deals with the problem of differentiating between ...

Causal discovery becomes especially challenging when the possibility of latent confounding and/or selection bias is not assumed away. For this task, ancestral graph models are particularly useful in that they can represent the presence of latent confounding ...