Web usage mining is the application of data mining techniques to better serve the needs of web-based applications on the web site. In this paper, we analyze the web usage mining by applying the pattern recognition techniques on web log data. Pattern recognition is defined as the act of taking in raw data and making an action based on the ‘category’ of the pattern. Web usage mining is divided in...

Web Usage Mining is the application of data mining techniques to discover interesting usage patterns from Web data, in order to understand and better serve the needs of Web-based applications. Usage data relates with the identity or origin of Web users along with their browsing behavior at a Web site. Web usage mining itself can be classified further depending on the kind of usage data consider...

organic nitrates are commonly used in angina pectoris and ischemic cardiomyopathy. in order to optimize their effectiveness and patient convenience, several aspects must be observed. adequate doses, suitable dosage forms and asymmetric pattern of usage to prevent the nitrate tolerance are some factors that a physician must be familiar with. the objective of the present study was to define the p...

Zika virus (ZIKV) is a mosquito-borne virus (arbovirus) in the family Flaviviridae, and the symptoms caused by ZIKV infection in humans include rash, fever, arthralgia, myalgia, asthenia and conjunctivitis. Codon usage bias analysis can reveal much about the molecular evolution and host adaption of ZIKV. To gain insight into the evolutionary characteristics of ZIKV, we performed a comprehensive...

Organic nitrates are commonly used in angina pectoris and ischemic cardiomyopathy. In order to optimize their effectiveness and patient convenience, several aspects must be observed. Adequate doses, suitable dosage forms and asymmetric pattern of usage to prevent the nitrate tolerance are some factors that a physician must be familiar with. The objective of the present study was to define the p...

Frequent pattern discovery is a heavily focused area in data mining. Discovering concealed information from Web log data is called Web usage mining. Web usage mining discovers interesting and frequent user access patterns from web logs. This paper contains a novel approach, based on k-mean and frequent pattern tree (FP-tree), for frequent pattern mining from Weblog data.

Web Usage Mining is the process of applying data mining techniques to the discovery of usage patterns from data extracted from Web Log files. It mines the secondary data (web logs) derived from the users' interaction with the web pages during certain period of Web sessions. Web usage mining consists of three phases, namely preprocessing, pattern discovery, and pattern analysis. In this paper, w...