Title: Data Mining and Efficient Exploratory Techniques for Analysing Databases
Publisher: Guru Nanak Publications
Series: Volume 2 Issue 2
Authors: D. D. Sarma and H. S. Saini
There is data explosion in every field of activity.
There is a need to turn such data into information and
knowledge. Further, we need to mine the data. Thus data
mining is (DM) the extraction of inherent and potentially
useful information from the data. This involves a number
of technical approaches such as clustering, data summarization,
classification, finding dependencies, networks,
analyzing changes and detecting anomalies. Anomalies
could indicate signals and signals need to be extracted.
There are techniques in time/spatial and frequency
domains to find out meaningful relationships, patterns,
trends inherent and to extract hidden information among
large amounts of data. These techniques are also employed
for decision support, predictions, forecasting and
estimation. In this paper, data mining concepts are
discussed, as also some of the exploratory techniques that
could be applied for extracting signals/information, with
Attributes, Data Aggregation, Data Cleaning, Data Explosion, Data Mining, Data Reduction, Data Transformation, Exploratory Analysis, Pre-processing, Noise, Signal, Yule-Walker Equations.