Optimization Technique for Pedestrian Data Extraction

CONCEPT EXTRACTION a data - mining technique

123 Just as miners must process huge quantities of rock and dirt to obtain valuable ores, data analysts must often process huge volumes of raw data to extract useful information.

A Novel Technique for Pattern Extraction in Mixed Data

Knowledge discovery in databases or data mining is an important issue in the development of data and knowledge base system. The Self Organizing Map (SOM) is a vector quantization method which places the prototype vectors on a regular lowdimensional grid in an ordered fashion. Clustering data and extracting patterns from the clusters are very important tasks in data mining. An attribute-oriented...

A Novel Technique for Data Extraction from Hidden Web Databases

Image Steganography for Data Embedding & Extraction using LSB Technique

Security is the main concern in today’s world due to the rapid growth of information technology. In this research work, the steganographic is the method or process in which the useful information or data, concealing into another form such as image, text, audio and video. The main concern in this work is to provide the confidentiality, availability, integrity and authenticity of information. In ...

An Analysis of Particle Swarm Optimization with Data Clustering-Technique for Optimization in Data Mining

Data clustering is a popular approach for automatically finding classes, concepts, or groups of patterns. Clustering aims at representing large datasets by a fewer number of prototypes or clusters. It brings simplicity in modeling data and thus plays a central role in the process of knowledge discovery and data mining. Data mining tasks require fast and accurate partitioning of huge datasets, w...