Vijayarani Mohan

Bharathiar University · Department of Computer Science

Purpose Owing to the huge volume of documents available on the internet, text classification becomes a necessary task to handle these documents. To achieve optimal text classification results, feature selection, an important stage, is used to curtail the dimensionality of text documents by choosing suitable features. The main purpose of this resear...

The rapid development of online social media is the method of collaboratively produced content material presents new possibilities and challenges to both producers and patrons of knowledge. The term big data refers to large-scale information control and evaluation technologies that exceed the functionality of conventional data processing techniques...

Association rule is a popular data mining technique, helps to identify the relationship between attributes in large databases. It is determined to discover frequent patterns and rules generation from the databases. Closed itemset is defined as frequent itemset whereas none of its immediate supersets has the same support in the itemset. Closed frequ...

Text mining is the process of extracting interesting and non-trivial knowledge or information from unstructured text data. Text mining is the multidisciplinary field which draws on data mining, machine learning, information retrieval, computational linguistics and statistics. Important text mining processes are information extraction, information r...

Template matching technique is useful for searching and finding the location of a template image (Small part of image) in the larger image. This technique is also used in Optical Character Recognition (OCR) tools and these tools are used for converting the scanned document images into normal text. Template matching technique is used to find and rec...

The main goal of this research is to mine frequent items in data streams using ECLAT and Dynamic Itemset Mining algorithms and finding the performance and drawbacks of these two algorithms. Most commonly used traditional association rule mining algorithms are APRIORI algorithms, Partitioning algorithms, Pincer-Search algorithms, FPGrowth Algorithms...

Data mining is used for finding the useful information from the large amount of data. Data mining techniques are used to implement and solve different types of research problems. The research related. It is also called knowledge discovery in text (KDT) or knowledge of intelligent text analysis. Text mining is a technique which extracts information...

A data stream is a real time, continuous, structured sequence of data items. Mining data stream is the process of extracting knowledge from continuous arrival of rapid data records. Data can arrive fast and in continuous manner. It is very difficult to perform mining process. Normally, stream mining algorithms are designed to scan the database only...

Cloud computing is an Internet based resource sharing which trigger broad network access. This cloud computing technology is a new technology which delivers a new model for information and services by means of an existing grid computing technology. Further, this new technology uses Internet infrastructure to communicate between the client and the s...

Edge detection refers to the process of identifying and locating sharp discontinuities in an image. Hence, edge detection is a vital step in image analysis and it is the key of solving many complex problems. Edge detection is a fundamental tool used in most image processing applications to obtain information from the frames as a precursor step to f...