# J.P.Bigus, Data Mining with Neural Networks - Solving Business Problems from Application Development to Decision Support, McGraw-Hill, 1996.  Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
Categorizing Visitors Dynamically by Fast and Robust.. - Estivill-Castro, Yang (2001) (Correct)
....in a data set by some natural criteria of similarity. It is typically used to categorize the market. The literature contains several examples in which clustering is illustrated in commercial applications that fundamentally aims at understanding what are the types of customers of an organization [3, 4]. Thus, clustering is to play a central role in grouping the visitors of a web site, and towards identifying whether the site is being used as expected, optimize the performance of a Web server, or discover which products are being purchased by which visitors. Based on di erent criteria, Web users ....
J.P. Bigus. Data Mining with Neural Networks: Solving Business Problems from Applciation Development to Decision Support. McGraw-Hill, NY, 1996.
Intelligent Agents: A Data Mining Perspective - Seydim (1999) (1 citation) (Correct)
....experience. In general, an intelligent agent can be described as consisting of a sensing element that can receive events, a recognizer or classifier that determines which event occurred, a set of logic ranging from hard coded programs to rule based inferencing, and a mechanism for taking action [1] [4] Other attributes that are important for agent paradigm include mobility and learning. An agent is mobile if it can navigate through a network and perform tasks on remote machines. A learning agent adapts to the requirements of its user and automatically change its behavior in the face of ....
....processes that are normally performed by multiple agents, such as economic processes involving groups of buying and selling agents. Types of Agents The nature of intelligent agents is such that they are optimized to perform certain functions and tasks on behalf of a user or a computer system. [1] has given a mapping which is done by IBM onto a graph by considering intelligence and agency. The graph, which is shown in Figure 1, is used to compare different intelligent agents. On the intelligence axis, agents go from simply specifying user interfaces, to active reasoning, through rule based ....
[Article contains additional citation context not shown here]
J.P.Bigus, Data Mining with Neural Networks - Solving Business Problems - from Application Development to Decision Support, McGraw-Hill, 1996.
Non-crisp Clustering Web Visitors by Fast, Convergent and.. - Estivill-Castro, Yang (2001) (Correct)
....in transactional data. Clustering is a central process inside data mining, it is a task of identifying groups in a data set by some natural criteria of similarity. The literature contains several illustrations in commercial applications where clustering discovers what are the types of customers [3, 4]. Thus, clustering visitation paths is to play a central role in grouping the visitors of a web site, and towards identifying whether the site is being used as expected, optimize the performance of a Web server, or discover which products are being purchased by which visitors. This Web mining task ....
J.P. Bigus. Data Mining with Neural Networks: Solving Business Problems from Applciation Development to Decision Support. McGraw-Hill, NY, 1996.
Natural Data Mining Techniques - Kok, Kosters (1991) (Correct)
....of such neurons is able to perform complex tasks. Many di erent types of neural networks exist. There are types that can be used to nd hidden structure in data, types that can be used for forecasting, clustering, etcetera. As a non technical introduction to neural computation we recommend [6]. Excellent technical introductions are [7] and [10] 7 5 6 4 9 10 8 3 2 1 Figure 3: A typical feedforward neural network. In Figure 3, a hypothetical and simpli ed example of a neural network application in a medical diagnosis system is given. This gure depicts a two layer feedforward ....
J.P. Bigus. Data Mining with Neural Networks: Solving Business Problems|From Application Development to Decision Support. McGraw-Hill, 1996.
AbstractData Mining is the process of extraction of - Interesting Non-Trivial.. (Correct)
No context found.
# J.P.Bigus, Data Mining with Neural Networks - Solving Business Problems from Application Development to Decision Support, McGraw-Hill, 1996.
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC