1. Explain about the text mining and then based on at least one of previously published articles describe that how has it been used for proper decision-making. The concept needs to be explained.
2. Critically analyze and explain different types of the Clustering algorithms, steps of clustering and their benefits and applications.

Using the following Table 1, describe data with descriptive analytics such as measure of centrality and measure of variation; creating an appropriate chart/charts, analyze the trends of each variable in the data. By considering the data for 2007-2011, use additive forecasting methods to forecast the values for 2012. Discuss about your forecasting accuracy. An interpretation with addressing previous publications is required.

Table 1. Sales by the Gas and public electricity supply systems Year Quarter Gas: gigawatt (Domestic) (Commerci Terrawatt hours hours Electricity: Terrawatt Electricity: (Domestic) hours 2007 178.4 39.3 2007 180.8 184.7 87.1 2007 151.3 186.3 128.9 2007 141.5 177 54.9 2008 158.9 176 37.7 166.7 2008 178.9 85.6 2008 152.3 187.1 125.5 2008 143.1 175 56 165.4 2009 171.9 36.9 2009 184 177 83.4 143.5 2009 3 180.3 124.6 2009 139.2 4 170.9 56.2 2010 162.7 168.2 35.2 2010 183.2 169.3 84.6 2010 142.8 173.8 132.5 134.7 2010 167.8 52.9 2011 149.9 164.9 33 167.6 2011 167 81.1 2011 146.3 171.7 120.4 137.6 2011 165.6 41.6 2012 152.8 2012 2012 2012