On clusterization of "big data" streams

A Cyber-Physical Stream Algorithm for Intelligent Software Defined Storage

“…This problem brings in a new type of a computational model that explicitly works only with a relatively small portion of the available data, while the rest of the data just implicitly affects selection of the given working portion [7]. The unavoidable restrictions on the operations with overabundant data translate into the design of the brain in accordance with the fundamental Freud's idea of unconsciousness.…”

“…Each item contains number of attributes. Attributes of information items are characterized by 23-bit metaknowledge templates [7], thus the organized items will have less number of attributes. The enterprise's request is a set of some number of specified attributes.…”

An Efficient DNA Molecule Clustering using GCC Algorithm

“…As with spaced seeds where it investigate the match in a position. In precise, it requires some positions to have exact letter while others are not required [9]. Based on that, the templates that we suggest can be develop in such a way that ensures that similar vectors are placed within similar clusters to allow performing exact and best match search operations.…”

“…Based on that, the templates that we suggest can be develop in such a way that ensures that similar vectors are placed within similar clusters to allow performing exact and best match search operations. The answer of each question within the templates can be represented in a form of (0 or 1), which eventually is used to build a 23-bit vector that representing a specific block or seed of the gene (as with Fig.1) [9]. This procedure results in having the corresponding seeds in clusters where each item differs from another seed in no more than some limited number of bitpositions mismatches of a corresponding 23-bit template.…”

Efficient Identification of Common Subsequences from Big Data Streams Using Sliding Window Technique

“…It presents a qualitatively different state of affairs for the organization of information processing, namely, this organization cannot utilize all the data explicitly. Data processing is one of the important challenges and many studies have been made on this topic [3]. Big Data support to build several worldwide social network connections, which integrate human beings with the accelerated progress of communication.…”