AN INTELLIGENT APPROACH OF WEB DATA MINING
Journal Title: International Journal on Computer Science and Engineering - Year 2012, Vol 4, Issue 5
Abstract
With an explosive growth of the World Wide Web, websites are playing an important role in providing an information and knowledge to the end users. Web usage patterns are an important aspect to discover hidden and meaningful information. It will be big challenge in web mining when the volume of traffic is large and the volume of web data is still in the growing phase. To face the challenge an intelligent approach of web traffic analysis has been highlighted in this paper.
Authors and Affiliations
Shakti Kundu
Prediction of Electrochemical Machining Process Parameters using Artificial Neural Networks
Electrochemical machining (ECM) is a non-traditional machining process used mainly to cut hard or difficult to cut metals, where the application of a more traditional process is not convenient. It offers several special...
Analyzing security of Authenticated Routing Protocol (ARAN)
Ad hoc network allow nodes to communicate beyond their irect wireless transmission range by introducing cooperation in mobile computer (nodes). Many proposed routing protocol or ad hoc network operate in an ad hoc fashio...
CHARACTER BASED WEIGHTED SUPPORT THRESHOLD LGORITHM USING MULTI CRITERIA DECISION MAKING TECHNIQUE
An association rule technique generally used to generate requent itemsets from databases and generates association rules by considering each item in the datasets. However, the values of items are different in many aspec...
Improving Ischemic Beat Classification Using Fuzzy- Genetic Based PCA And ICA
In this paper, an improved version of Principal Component nalysis (PCA) and Independent Component Analysis (ICA) is proposed for feature extraction to classify the ischemic beats from electrocardiogram (ECG) signal. The...
Comparison a Performance of Data Mining Algorithms (CPDMA) in Prediction Of Diabetes Disease
Detection of knowledge patterns in clinicial data through data mining. Data mining algorithms can be trained from past examples in clinical data and model the frequent times non-linear relationships between the independe...