Clustering of large collections of text documents is a key process in providing a higher level of knowledge about the underlying inherent classification of the documents. Web documents, in particular, are of great interest since managing, accessing, searching, and browsing large repositories of web content requires efficient organization. Incremental clustering algorithms are always preferred t...

A major issue with large dynamic datasets is the processing of small changes in the input through correspondingly small rearrangements of the output. This was the motivation behind the design of incremental or on-line algorithms for lattice maintenance, whose work amounts to a gradual construction of the final lattice by repeatedly adding rows/columns to the data table. As an attempt to put the...

Multi-dimensional outlier detection (MOD) over data streams is one of the most significant data stream mining techniques. When multivariate data are streaming in high speed, outliers are to be detected efficiently and accurately. Conventional outlier detection method is based on observing the full dataset and its statistical distribution. The data is assumed stationary. However, this convention...

interpretation is a technique for ow analysis widely used in the area of logic programming. Until now it has been used only for the global compilation of Prolog programs. But the programming language Prolog enables the programmer to change the program during run time using the built-in predicates assert and retract. To support the generation of eecient code for programs using these dynamic data...

In dynamic databases, new transactions are appended as time advances. This paper is concerned with applying an incremental association rule mining to extract interesting information from a dynamic database. An incremental association rule discovery can create an intelligent environment such that new information or knowledge such as changing customer preferences or new seasonal trends can be dis...

Abstract Fragility curves are the primary way of assessing seismic risk for a building with numerous studies focused on deriving these fragility and how to account inherent uncertainty in assessment. This study focuses three-story steel moment frame structure performs assessment using new approach called SPO2FRAG (Static Pushover Fragility) that is based pushover analysis. further compared cont...