Results 61 to 70 of about 24,371,806 (309)
A Cube Analytical Mining Framework for Stream Data
Dianxin kexue, 2014 Stream data has been one of the most significant data format recently. OLAM（online analytical mining） operation could provide multi-level data views for analysts.
Canghong Jin +3 more
doaj +2 more sources
Probing Electrocatalyst Design for Product Selectivity in CO2 Reduction
Advanced Science, EarlyView.Selective CO2 electroreduction is controlled by catalyst structure, dynamic surface reconstruction, adsorbate interactions, and reaction microenvironment. This review summarizes Cu‐ and non‐Cu‐based catalysts, single‐atom and molecular systems, degradation pathways, and operando/computational strategies for steering CO2RR toward hydrocarbons ...
Suvodeep Sen +5 more
wiley +1 more source
Learning from medical data streams: an introduction [PDF]
, 2011 Clinical practice and research are facing a new challenge created by the rapid growth of health information science and technology, and the complexity and volume of biomedical data.
Rodrigues, P. +6 more
core
Weka: A machine learning workbench for data mining [PDF]
, 2005 The Weka workbench is an organized collection of state-of-the-art machine learning algorithms and data preprocessing tools. The basic way of interacting with these methods is by invoking them from the command line.
Pfahringer, Bernhard +5 more
core +1 more source
Autonomous Solar Metallurgy for High‐Purity Gold Recovery from Electronic Waste
Advanced Science, EarlyView.Inspired by microbial strategies for metal uptake and biomineralization, defect‐rich copper sulfide (Cu31S16) functions as a solar metallurgical platform that unifies Au(III) capture, reduction, and self‐separation. The bioinspired design enables ultrafast gold recovery from electronic‐waste leachates and the spontaneous formation of millimeter‐scale ...
Chaopeng Liu +7 more
wiley +1 more source
Extension of Decision Tree Algorithm for Stream Data Mining Using Real Data [PDF]
, 2009 Recently, because of increasing amount of data in the society, data stream mining targeting large scale data has attracted attention. The data mining is a technology of discovery new knowledge and patterns from the massive amounts of data, and what the ...
Konishi, Osamu +3 more
core
Scalable concept drift adaptation for stream data mining
Complex & Intelligent SystemsStream data mining aims to handle the continuous and ongoing generation of data flows (e.g. weather, stock and traffic data), which often encounters concept drift as time progresses.
Lisha Hu, Wenxiu Li, Yaru Lu, Chunyu Hu
doaj +1 more source
Sequence Pattern Mining in Data Streams
Computer and Information Science, 2015 Sequential pattern mining in data streams environment is an interesting data mining problem. The problem of finding sequential patterns in static databases had been studied extensively in the past years, however mining sequential patterns in the data streams still an active field for researches.
H. M. Hijawi, M. H. Saheb
openaire +3 more sources
An Expertise Transfer Framework For Autonomous Surgical Assistance
Advanced Science, EarlyView.This study introduces an expertise transfer framework for procedure‐spanning autonomous surgical assistance. By emulating expert logic through hierarchical perception, attention modeling, and knowledge graph‐based decision‐making, the system provides near‐expert surgical view assistance.
Yuan Gao +12 more
wiley +1 more source
Fuzzy Sequential Pattern Mining over Quantitative Streams
International Journal of Information and Communication Technology Research, 2019 Sequential pattern mining is an interesting data mining problem with many real-world applications. Though new applications introduce a new form of data called data stream, no study has been reported on mining sequential patterns from the quantitative ...
Omid Shakeri +3 more
doaj