Results 101 to 110 of about 3,630,262 (289)
Advanced Intelligent Discovery, EarlyView.A machine learning framework simultaneously predicts four critical properties of monomers for emulsion polymerization: propagation rate constant, reactivity ratios, glass transition temperature, and water solubility. These tools can be used to systematically identify viable bio‐based monomer pairs as replacements for conventional formulations, with ...
Kiarash Farajzadehahary +1 more
wiley +1 more source
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
Advanced Intelligent Discovery, EarlyView.The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang +9 more
wiley +1 more source
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
Web usage mining for web personalization [PDF]
, 2019 DOCTOR OF PHILOSOPHY (SCE)
openaire +2 more sources
An Overview of Web Usage Mining
International Journal of Computer Applications, 2012 Web Usage Mining make use of Association Rule Mining to discover the interesting pattern, identify web user behavior, predict web user expectation and improve the business strategy. Association Rule Mining is a technique of Data Mining which is used to find the relationship between the data items.
D. Sharmila, R. Suguna
openaire +1 more source
A Survey on Web Usage Mining, Applications and Tools [PDF]
, 2015 World Wide Web is a vast collection of unstructured web documents like text, images, audio, video or Multimedia content. As web is growing rapidly with millions of documents, mining the data from the web is a difficult task. To mine various patterns from
Anitha Talakokkula, TALAKOKKULA, ANITHA
core
Mining Web usage using FRS [PDF]
, 2018 Web Usage Mining (WUM) is the application of data mining methods in extracting potentially useful information from web usage data. Its application includes improving website design, personalised service, target marketing etc.
Omar, Rosli +3 more
core +1 more source
Advanced Intelligent Discovery, EarlyView.An end‐to‐end knowledge discovery framework is established to automate high‐precision property extraction from small, specialized literature corpora. Utilizing a domain‐specific bidirectional encoder representation from a transformer model and data augmentation, the system accurately extracts and structures electrolyte performance data, ultimately ...
Gaheun Shin +4 more
wiley +1 more source
Hidden Markov Mined Activity Model for Human Activity Recognition
International Journal of Distributed Sensor Networks, 2014 Object-usage-based human activity recognition systems require activity data for learning. Acquiring such data from the real world is expensive and time consuming. To overcome such difficulties, the exploitation of web activity data is gaining popularity.
A. M. Jehad Sarkar
doaj +1 more source