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Once all these processes are over, we would be able to use this information in many applications such as Fraud Detection, Market Analysis, Production Control, Science Exploration, etc.Data Mining is defined as extracting information from huge sets of data.

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Transfer payments fall into two categories-general purpose, where no restriction is placed on their use, and specific purpose, where certain conditions must be fulfilled in order to qualify for the transfer which govern the use of the transfer.

Equalization payments are classified in the general transfer category while provincial government transfers to assist municipalities in the operation and upgrade of the local road and bridge systems are classified in the specific transfer category.It is necessary to analyze this huge amount of data and extract useful information from it.Extraction of information is not the only process we need to perform; data mining also involves other processes such as Data Cleaning, Data Integration, Data Transformation, Data Mining, Pattern Evaluation and Data Presentation.Results show that classification with high accuracy is achievable using simple non-linear discriminative methods such as k-nearest neighbors (KNNs) which is very promising. doi: 10.1109/TGRS.2004.831865 Pubmed Abstract | Pubmed Full Text | Cross Ref Full Text Meyer-Lindenberg, A. We compare and report detailed results of each classifier as well as statistical analysis and evaluation of each single feature. Master data are the products, accounts and parties for which the business transactions are completed.

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