CATalogue of Web
Technologies
Dr. Karsten Verbeurgt
This
project involves compilation of a knowledge base of existing and newly marketed
off-the-shelf software and systems that can be integrated to meet the needs of
businesses. This knowledge base can then be used to direct small businesses
toward optimal web solutions. The cataloguing process has lead to initial
development of a database. Ultimately
the group will design a Web site summarizing the findings that will be expanded
to offer other services as additional capability is developed and focused on
the campus. This is the first step in a
plan to develop a multi-media lab capable of testing and comparing existing and
emerging technologies.
Benchmarking Financial
Applications of Data Mining Research.
Dr. Karsten Verbeurgt
The
goal of this project is to develop an information repository for the testing of
data mining techniques. Data mining is
the extraction of patterns from large data sets. It is critical to the process
of making decisions based on compiled information, a process important in
e-business applications such as the Direct Marketing (DM) techniques utilized
in e-commerce.
Benchmark Study of the
Account Data Model
Dr. Andrew Pletch and Dr.
Chih-Yang Tsai
Cataloguing
data in an intelligent manner that facilitates efficient querying of that
database is a key element of any business plan; doing this on-line is critical
at several levels of an e-business plan. This research team has developed a new
approach to data modeling called the Account Data Model. This universal data
model is applicable to On-line Analytic Processing (OLAP), as well as, On-line
Transaction Processing (OLTP), Data Warehousing, and Data Mining. One important
feature of this model is that its structure permits redesign of an application
without the need to redesign the corresponding database implementation. The
purpose of this project is to study the OLAP performance of database
implemented following the Account Data Model. The database contains the
transactions over a 10-year period of a medium-sized company. This database was
built using the Account Data Model by Quire Inc.
Assessing Consumer Trust in
E-Commerce
The
purpose of this project is to identify for Hudson Valley businesses ways to
build trust and establish relationships with on-line customers. At the heart of electronic commerce is the
need to build relationships with customers/clients. People in business are used to judging the credibility of others
by assessing their so-called integrity when they met face to face. Perceived
integrity was based on eye-to-eye contact and the firmness of a handshake. While this method of assessing integrity is
not infallible, people have confidence in it. We do not know what leads
e-consumers to trust an on line business enough to make a first purchase and
return for repeat purchases. To investigate this issue, the investigator will
survey and analyze consumer responses to:
1)
Assess
the risks consumers perceive with e-commerce,
2)
Identify
processes, policies, and technology design features that can alleviate fears of
these risks (e.g., security, confidentiality),
3)
Identify
ways to build customer confidence.