DATA MINING OF LARGE DB

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DATA MINING OF LARGE DATABASE

Challenge

To develop a system for searching a customer database to identify subscribers with multiple accounts.

CLIENT:

INDUSTRY:

Telecom

PROJECT TIMELINE:

40 ,man months

Functional Area

Customer database management
User profile: Wireless provider

Technologies

CORBA (omniORB broker)
Oracle 9i
Oracle Call Interface
Apache HTTP Server

Python 2.2
Microsoft Windows 2000/XP
Linux Red Hat 7.2
SUSE Linux 9.0 Professional
HP-UX 11i
Plug-ins

SOLUTION

For database application development, we deployed C++ programming, the CORBA technology (the omniORB CORBA broker), Oracle stored procedures and Oracle OCI.

1Datagroup implemented the concept of rule-based search where fields do not have to be absolutely identical to match, but resemble the sought combination of the search request parameters.

Additionally, the following procedures have been accomplished:

technical documentation provided by the customer refined and updated;
original drafts of user documentation including an installation guide and a user guide created;
coding and testing performed at company’s ODC in Ukraine.

RESULTS

Engagement is ongoing by supporting the current system version, and new releases with enhanced functionality, designing and developing other intelligent data mining tools.

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