Results 231 to 240 of about 98,082 (264)

Segmenting customers with data mining techniques

2015 Third International Conference on Digital Information, Networking, and Wireless Communications (DINWC), 2015
Retail marketers are constantly looking for ways to improve the effectiveness of their campaigns. One way to do this is to target customers with the particular offers most likely to attract them back to the store and to spend more time and money on their next visit. Demographic market segmentation is an approach to segmenting markets. A company divides
openaire   +2 more sources

Design recovery with data mining techniques

1998
In this paper, we discuss preliminary research and potential benefits of applying data mining techniques to the design recovery problem. This approach to design recovery derives from the observation that data mining can discover unsuspected non-trivial relationships among elements in large databases.
Carlos Montes de Oca, Doris L. Carver
openaire   +1 more source

Data Stream Mining: Challenges and Techniques

2010 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010
Data streams are continuous flows of data. Examples of data streams include network traffic, sensor data, call center records and so on. Their sheer volume and speed pose a great challenge for the data mining community to mine them. Data streams demonstrate several unique properties: infinite length, concept-drift, concept-evolution, and feature ...
openaire   +1 more source

Sequence data mining techniques and applications

Proceedings 19th International Conference on Data Engineering (Cat. No.03CH37405), 2005
Many interesting real-life mining applications rely on modeling data as sequences of discrete multi-attribute records. Mining models for network intrusion detection view data as sequences of TCP/IP packets. Text information extraction systems model the input text as a sequence of words and delimiters.
openaire   +1 more source

Randomization Techniques for Data Mining Methods

2008
Data mining research has concentrated on inventing novel methods for finding interesting information from large masses of data. This has indeed led to many new computational tasks and some interesting algorithmic developments. However, there has been less emphasis on issues of significance testing of the discovered patterns or models.
openaire   +1 more source

Data Mining: Data Mining Concepts and Techniques

2013 International Conference on Machine Intelligence and Research Advancement, 2013
openaire   +1 more source

A Data Mining Technique for Time Series Data

2022
Yoshinori Satoh, Akira Maeda
openaire   +1 more source

Optimal design of a supercritical carbon dioxide recompression cycle using deep neural network and data mining techniques

Energy, 2023
Yadong Du, Ben Zhao, Chenxing Hu
exaly  

Data Mining Techniques

2017
Bhavani Thuraisingham, Mohammad Mehedy Masud, Pallabi Parveen, Latifur Khan   +3 more
openaire   +1 more source

Data Mining Techniques

Technometrics, 2006
openaire   +1 more source