Case Studies

Fuzzy-Based Techniques For Time Series Data

Time-Series clustering is one of the important concepts of data mining that is used to gain insight into the mechanism that generate the time-series and predicting the future values of the given time-series.

Customer Churn analysis In Sector

Churn in the broadest sense is a measure of the number of individuals or items moving out of a collective system over a specific period of time. It is one of two primary factors that determine the steady-state level of customers a business supports

Feature Selection Process For Automoblie

Regressions subset selection is considered as all possible subsets of the pool of explanatory variables and finds the model that best fits the data according to some criteria (e.g. Adjusted R2, AIC and BIC)

Back-Testing Of A Tranding Strategy

This case study shows how a strategy can be evaluated using backtesting over a historical data. We start with defining a strategy explaining the importance of planning and the use of backtesting.

Predicting of Stock Trends using Neuro Fuzzy based Techniques

Stock market prediction is an act of trying to determine the future value of a company stock or other financial instrument traded on a financial exchange.

Stock Market Price Predictions by Data Mining

Prediction of stock market price is done using trend and momentum indicators. Stock market prediction using data mining techniques is a common practice as data mining is a powerful tool for data analysis.