Automated document classification is an essential text mining service because the existence of a tremendous number of on-line files, it is endless yet important to be able to automatically organize such records into classes to support document retrieval and sucessive analysis.Document classification has been used in automated topic tagging (i.e., ... Read More

Statistical spatial data analysis has been a famous techniques to exploring spatial data and analysing geographic data. The term geostatistics is related to continuous geographic area, whereas the term spatial statistics is related to discrete space.In a statistical model that manages non-spatial records, one generally consider statistical independence between different ... Read More

A set-valued attribute can be of homogeneous or heterogeneous type. Generally, set-valued information can be generalized byGeneralization of every value in the set to its equivalent higher-level conceptDerivation of the usual behavior of the set, including the multiple elements in the set, the types or value ranges in the set, ... Read More

Tuple ID propagation is an approach for implementing virtual join, which highly improves effectiveness of multirelational classification. Rather than physically joining relations, they are virtually combined by connecting the IDs of target tuples to tuples in non-target relations.In this method the predicates can be computed as if a physical join ... Read More

The BLAST algorithm was produced by Altschul, Gish, Miller, around 1990 at the National Center for Biotechnology Information (NCBI). BLAST is used to derive functional and evolutionary relationships among sequences and to help recognize members of gene families.The NCBI website includes several common BLAST databases. As per their content, they ... Read More

The alignment depends on the fact that all living organisms are associated by evolution. This uses that the nucleotide (DNA, RNA) and proteins series of the species that are nearer to each other in evolution must exhibit higher similarities.An alignment is the phase of lining up sequences to obtain a ... Read More

GSP stands for Generalised Sequential Patterns. It is a sequential pattern mining method that was produced by Srikant and Agrawal in 1996. It is an expansion of their seminal algorithm for usual itemset mining, referred to as Apriori. GSP needs the downward-closure natures of sequential patterns and adopts a several-pass, ... Read More

Sequential pattern mining is the mining of frequently appearing series events or subsequences as patterns. An instance of a sequential pattern is users who purchase a Canon digital camera are to purchase an HP color printer within a month.For retail information, sequential patterns are beneficial for shelf placement and promotions. ... Read More

STREAM is an individual-pass, constant element approximation algorithm that was produced for the k-medians problem. The k-medians problem is to cluster N data points into k clusters or groups such that the sum squared error (SSQ) between the points and the cluster center to which they are assigned is minimized. ... Read More

Data stream clustering is described as the clustering of data that appar continuously including telephone data, multimedia data, monetary transactions etc. Data stream clustering is generally treated as a streaming algorithm and the objective is, given a sequence of points, to make a best clustering of the stream, utilizing a ... Read More