Hello, I am looking for a solution to address my problem related to building an intelligent system using Machine learning techniques and Data mining.
My requirements are as follows: - Client system does the transaction using hub, we have a historical data and we can predict the trends of min/avg/max number of transaction for a given interval - Using the historical data, mine the data, need to find the predictions - Need to build a intelligent system (using ML technique, neural network algorithms) if there is no transaction for a client in the given prediction range then system needs to send alarms For example, Walmart sells gift cards, each sale is a transaction and it needs to come to main system (from hub), we have a historical data for WalMart for sales (for each day, each hour, each 10 mins, peak volume, holiday season), if there is no transaction from WalMart for X range of time and that range does not fall in a prediction data, then intelligent systems needs to raise an alarm. I am interested to play around with some of the technologies such as Machine Learning (using Mahout/Hadoop), Neural Networks, Data mining techniques. Thanks in advance. -Mubarak.
