A Comprehensive Study of Data Mining and Application
Journal Title: International Journal of Advanced Research in Computer Engineering & Technology(IJARCET) - Year 2013, Vol 2, Issue 1
Abstract
Data mining refers to extracting or ―mining‖ knowledge from large amounts of data. Data mining involves an integration of techniques from multiple disciplines such as database technology, statistics, machine learning, high performance computing, pattern recognition, neural networks, data visualization, information retrieval, image and signal processing, and spatial data analysis. Data mining applications can use a variety of parameters to examine the data. They include association, sequence or path analysis, classification, clustering and forecasting. An application compared to other data analysis applications such as structured queries or statistical analysis software. Illustration of the data mining application that offer opportunities for research. The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use. In this paper present a comprehensive study for data mining, models, issue, and focuses its application.
Authors and Affiliations
Dheeraj Agrawal
Determination of Noise Levels in Using AMS Features of Noisy Speech Signal and Their Comparison
Great difficulty in recognizing speech is under a noisy background. The signal to noise ratio plays a very important role in speech recognition techniques. The signal to noise ratio is the ratio of the signal estim...
The Content Summarization system
The documents that are published in the internet are represented in the chronological sequence. Any interesting part of this document is called as topic. Topic is the sentence which captures the attention of the re...
Economic Load Dispatch with Valve Point Loading Effect and Generator Ramp Rate Limits Constraint using MRPSO
FGEST: FINGER TRACKING AND GESTURE RECOGNITION IN SMARTPHONES
Recent advances in mobile processors have made complex calculations possible and feasible in Smartphones. Taking advantage of these developments we aim to develop a gesture recognition application that can recognize fing...
Modulation of Generalized Canonical CS-Transform
In this paper the generalized canonical CS- transform it is extended to the distribution of compact support by using kernel method. The analyticity and modulation theorems are proved for this transform. Also...