Results 101 to 110 of about 211,652 (286)
An Application for Data Preprocessing and Models Extractions in Web Usage Mining [PDF]
Risk in Contemporary Economy, 2011 Web servers worldwide generate a vast amount of information on web users’ browsing activities. Several researchers have studied these so-called clickstream or web access log data to better understand and characterize web users.
Claudia Elena DINUCA
doaj
Designing an Adaptive Bandwidth Management for Higher Education Institutions
International Journal of Computing Sciences Research, 2018 Purpose–Thisstudy proposes an adaptive bandwidth management system which can be explicitly used by educational institutions. The primary goal of the system is to increase the bandwidth of the users who access more on educational ...
Rolysent K. Paredes +1 more
doaj +1 more source
A recommender system approach for classifying user navigation patterns using longest common subsequence algorithm. [PDF]
, 2009 Prediction of user future movements and intentions based on the users’ clickstream data is a main challenging problem in Web based recommendation systems. Web usage mining based on the users’ clickstream data has become the subject of exhaustive research,
Jalali, Mehrdad +3 more
core
The Interoperability Challenge in DFT Workflows Across Implementations
Advanced Intelligent Discovery, EarlyView.Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen +13 more
wiley +1 more source
The Application of Web Usage Mining In E-commerce Security
International Journal of Information Science and Management, 2013 Nowadays, World Wide Web has become a popular medium to search information, business, trading and so on. Various organizations and companies are also employing the web in order to introduce their products or services around the world.
Prof. Dr. M. E. Mohammadpourzarandi +1 more
doaj
A COMPARATIVE ANALYSIS OF WEB INFORMATION EXTRACTION TECHNIQUES DEEP LEARNING vs. NAÏVE BAYES vs. BACK PROPAGATION NEURAL NETWORKS IN WEB DOCUMENT EXTRACTION [PDF]
ICTACT Journal on Soft Computing, 2016 Web mining related exploration is getting the chance to be more essential these days in view of the reason that a lot of information is overseen through the web. Web utilization is expanding in an uncontrolled way.
J. Sharmila, A. Subramani
doaj
Advanced Intelligent Discovery, EarlyView.The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu +11 more
wiley +1 more source
Data pre-processing for web log mining: Case study of commercial bank website usage analysis
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2013 We use data cleaning, integration, reduction and data conversion methods in the pre-processing level of data analysis. Data processing techniques improve the overall quality of the patterns mined.
Jozef Kapusta +3 more
doaj +1 more source
When Biology Meets Medicine: A Perspective on Foundation Models
Advanced Intelligent Discovery, EarlyView.Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source
Log Pre-Processing and Grammatical Inference for Web Usage Mining [PDF]
, 2005 International audienceIn this paper, we propose a Web Usage Mining pre-processing method to retrieve missing data from the server log files. Moreover, we propose two levels of evaluation: directly on reconstructed data, but also after a machine learning ...
Murgue, Thierry
core +1 more source