In this paper we introduce an efficient strategy for discovering Web usage mining is the application of data mining techniques to discover usage patterns from Web data, in order to understand and better serve the needs of Web-based applications. Web usage mining consists of three phases, namely preprocessing, pattern discovery, and pattern analysis. This paper describes each of these phases in ...

The battery lifetime of mobile devices depends on the usage pattern of the battery, next to the discharge rate and the battery capacity. Therefore, it is important to include the usage pattern in battery lifetime computations. We do this by combining a stochastic workload, modeled as a continuous-time Markov model, with a well-known battery model. For this combined model, we provide new algorit...

Mycoplasma bovis is a major pathogen causing arthritis, respiratory disease and mastitis in cattle. A better understanding of its genetic features and evolution might represent evidences of surviving host environments. In this study, multiple factors influencing synonymous codon usage patterns in M. bovis (three strains' genomes) were analyzed. The overall nucleotide content of genes in the M. ...

Previous work on the effects of word usage frequency on production has found a significant correlation between the usage frequency and duration of the word. This study examines usage frequency effects on the production of homophonous words in a corpus of Mandarin Chinese, seeking to determine the validity of previous results crosslinguistically. Analysis of the corpus reveals a similar pattern ...

As service world becomes bigger, behavior of people in this world becomes interesting and analysis of usage sequences can yield useful information about web services and the way they are used. Application of data mining and web mining techniques in the field of web services is introduced in order to discover interesting patterns among web services usage and interactions. In this paper, we intro...

Frequent pattern mining is a heavily researched area in the field of data mining with wide range of applications. One of them is to use frequent pattern discovery methods in Web log data. Discovering hidden information from Web log data is called Web usage mining. The aim of discovering frequent patterns in Web log data is to obtain information about the navigational behavior of the users. This...

We have developed and deployed several web-based tutors for C++ programming concepts. We have been remotely collecting usage data from these tutors, and analyzing them for the benefit of the students, the teachers and ourselves. In this paper, we will describe the tutors, the types of data collected, and the types of analysis we perform on the data for the benefit of the various constituencies ...

Frequent pattern mining plays a major role in mining of web log files. Web usage mining is the one of the web mining process that involves application of mining techniques to web server logs to extract the behavior of users. A web usage mining consists of three important phases: data preprocessing, patterns discovery and pattern analysis. In data preprocessing phase the unwanted data are remove...

Performance efficiency is important in mobile application development because devices have limitations terms of power and resources. can be improved by applying architecture patterns. In this paper, we use the Model View ViewModel (MVVM) architecture. The carried out to analyze how practical MVVM pattern increasing performance application. measured based on CPU usage, memory execution Time. cas...