Results 61 to 70 of about 211,652 (286)

Data Collection and Preprocessing in Web Usage Mining: Implementation and Analysis

Iraqi Journal for Computers and Informatics
Data collection and data preprocessing are crucial stages in web usage mining, mainly because of the unstructured, diverse, and noisy nature of log data. During data collection, log file datasets are loaded and merged.
Mohammed Ali Mohammed, Rula A. Hamid, Reem Razzaq AbdulHussein   +2 more
doaj   +1 more source

Web User Session Reconstruction Using Integer Programming [PDF]

, 2008
An important input for web usage mining is web user sessions that must be reconstructed from web logs (sessionization) when such sessions are not otherwise identified. We present a novel approach for sessionization based on an in- teger program.
Dell, Robert F., Román, Pablo E., Velásquez, Juan D.   +2 more
core   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

A Web Mining Approach for Evaluation of Quality Assurance at University of Science and Technology

مجلة العلوم الهندسية والتقنية
In today's digital landscape, there is an abundance of websites containing vast amounts of information. However, the challenge lies in extracting valuable knowledge from this sea of data.
Ahmed Sultan Al-Hegami, Nathem Saeed Ahmed Al-Hddad, Hussein Alkhader Alsaeedi   +2 more
doaj   +1 more source

Web usage mining: extracting unexpected periods from web logs [PDF]

Data Mining and Knowledge Discovery, 2007
Existing Web Usage Mining techniques are currently based on an arbitrary division of the data (e.g. “one log per month”) or guided by presumed results (e.g “what is the customers behaviour for the period of Christmas purchases?”). Those approaches have two main drawbacks. First, they depend on this arbitrary organization of the data.
Masseglia, Florent, Poncelet, Pascal, Teisseire, Maguelonne, Marascu, Alice   +3 more
openaire   +3 more sources

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

Advanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu, Haolin Fan, Minwoo Kim, Tong Zhou, Pinyi Yang, Lingdi Zhao, Yiran Wang, Ziyuan Che, Chia‐Wei Liu, Bingbing Li, Yangzhi Zhu   +10 more
wiley   +1 more source

Expectation maximization clustering algorithm for user modeling in web usage mining system [PDF]

, 2009
To provide intelligent personalized online services such as web recommender systems, it is usually necessary to model users’ web access behavior. To achieve this, one of the promising approaches is web usage mining, which mines web logs for user models ...
Jalali, Manijeh, Jalali, Mehrdad, Mustapha, Norwati   +2 more
core  

Harnessing Phase Separation for the Development of High‐Performance Hydrogels

Advanced Science, EarlyView.
ABSTRACT Hydrogels are indispensable for the development of next‐generation bioelectronics, soft robotics, and biomedical devices, where their mechanical properties determine performance and reliability. Among strategies to enhance hydrogel mechanics, phase separation enables controlled heterogeneity resulting in gel networks that are reinforced by ...
Yue Shao, Yiming Ma, Baihao Shao, Molly M. Stevens   +3 more
wiley   +1 more source

ANALYZING OF SYSTEM ERRORS FOR INCREASING A WEB SERVER PERFORMANCE BY USING WEB USAGE MINING

Electrica, 2007
Web usage mining is to analysis Web log files to discover user accessing patterns of Web pages. The user access log files present very significant information about a web server.
Resul DAS, Ibrahim TURKOGLU, Mustafa POYRAZ   +2 more
doaj   +2 more sources

Decoupling Intrinsic Molecular Efficacy From Platform Effects: An Interpretable Machine Learning Framework for Unbiased Perovskite Passivator Discovery

Advanced Science, EarlyView.
This study establishes an interpretable machine learning framework that disentangles the intrinsic molecular efficacy of passivators from experimental platform effects—enabling unbiased, high‐throughput discovery of effective perovskite surface modifiers.
Jing Zhang, Ziyuan Li, Shan Gao, Zhen Zhu, Jing Wang, Xiangmei Duan   +5 more
wiley   +1 more source