Role of Data Mining Techniques in Building Smarter and Greener Environment - A Study

People invest a larger part of their energy in their home or work environment and for some, these spots are our asylums. As society and innovation progress there is a developing interest for enhancing the knowledge of the situations in which we live and work. Data mining techniques plays a pivotal role in establishing the smarter home and city to greener environment in the past decade. For a smarter environment, sensors can be embedded anywhere while the occupants play out their day by day schedule. The data are collected from the sensor, stored in a database or a network and data mining algorithms can be used to extract interesting patterns. Some of the application like activity recognition such as cooking, watching TV, sleeping etc., For a greener environment, data mining plays a vital role in predicting the energy consumption like mobile phone energy consumption, waste water treatment, building energy use, predicting traffic density, anomaly detection in roads etc. Data mining techniques works efficiently in imbalanced and microarray datasets which bring some disadvantages like over-fitting, poor performance and low efficiency. This paper reviews various data mining approaches to provide better understanding about the different methods that may help interested researchers to work future in establishing the smart and greener environment.