Data Mining Assignment
$30-250 USD
Pagado a la entrega
The aim of this work is to familiarize with the datamining process (DE)
from [url removed, login to view] particular, for the implementation of data warehouse and to perform
knowledge mining algorithms you can use SQL tools
Server Analysis Service, Oracle BI, [url removed, login to view] will work in a well-known
dataset from UCI ML Repository (URL:
[url removed, login to view]).Specifically, you deal with:
Insurance Company Benchmark (COIL 2000) Dataset:Total
Data relates to socio-demographic insurance customer data
company. The aim is to predict if the customer potentially interested
an insurance policy on caravan, which is used as
feature-target classification. Detailed description of the dataset can be found
at the address below from where you can also download it.
http://archive.ics.uci.edu/ml/datasets/Insurance+Company+Benchmark+%28C
OIL+2000%29
THE DELIVERABLE MUST BE THE FOLLOWING: 1)the contents (backup) the original DB, the script files preparation of the data, the contents of the Data Warehouse,the resulted models from the categorization, the resulted models from clustering and the resulted models from the correlation analysis. 2)Report with detailed description of the approach you followed in each of the operations accompanied by appropriate formats (DataBase, Data Warehouse, etc.) screenshots etc. and justify the decisions you took in every case. Especially the part of Data Exploration you should interpret the revealed knowledge and link it with the factors that affect it (e.g. parameters algorithms,etc.).
Nº del proyecto: #9576759
Sobre el proyecto
Adjudicado a:
My graduate areas of expertise in the field of data mining and decision support systems. I also used to use Weka application to conduct an analysis of certain data both for the cluster, classification and forecasting. Más
5 freelancers están ofertando un promedio de $213 por este trabajo
Hi I am a very experienced statistician and academic writer graduated from IIT Bombay. I have completed several pHD level thesis projects involving advanced statistical analysis of data. I have worked with data from se Más