Results 161 to 170 of about 3,519,928 (392)
Information-theoretic Interestingness Measures for Cross-Ontology Data Mining [PDF]
arXiv, 2015 Community annotation of biological entities with concepts from multiple bio-ontologies has created large and growing repositories of ontology-based annotation data with embedded implicit relationships among orthogonal ontologies. Development of efficient data mining methods and metrics to mine and assess the quality of the mined relationships has not ...
arxiv
Subsymbolic methods for data mining in hydraulic engineering [PDF]
, 2000 A. W. Minns
openalex +1 more source
An Engineering Approach to Data Mining Projects
, 2007 Both the number and complexity of Data Mining projects has increased in late years. Unfortunately, nowadays there isn't a formal process model for this kind of projects, or existing approaches are not right or complete enough. In some sense, present situation is comparable to that in software that led to 'software crisis' in latest 60's.
Marbán Gallego, Óscar +3 more
openaire +3 more sources
Waste‐Derived Zn‐Based ASEI Layer for Enhanced Lithium Anodes in Lithium–Sulfur Batteries
Advanced Sustainable Systems, EarlyView.Lithium dendrite formation limits the scalability of lithium‐metal batteries. This study develops a waste‐derived Zn‐based hybrid artificial solid electrolyte interphase (ASEI) layer, enhancing Li anode stability. It achieves a low 9 mV overpotential over 400 cycles and enables high‐capacity Li–S performance (1085 mAh g⁻¹ at 0.1 C).
Mohsen Hajian Foroushani +3 more
wiley +1 more source
Analysis of Sustainable Guarantee Measures of Bauxite Resource Demand in China
Kuangchan zonghe liyongThis is an article in the field of mining engineering. The development of aluminum industry is subject to decisive factors such as bauxite resources.
Chunhuan LI +3 more
doaj +1 more source
Revolutionizing Process Mining: A Novel Architecture for ChatGPT Integration and Enhanced User Experience through Optimized Prompt Engineering [PDF]
arXivIn the rapidly evolving field of business process management, there is a growing need for analytical tools that can transform complex data into actionable insights. This research introduces a novel approach by integrating Large Language Models (LLMs), such as ChatGPT, into process mining tools, making process analytics more accessible to a wider ...
arxiv
arXiv, 2016 One of the most valuable assets of an organization is its organizational data. The analysis and mining of this potential hidden treasure can lead to much added-value for the organization. Process mining is an emerging area that can be useful in helping organizations understand the status quo, check for compliance and plan for improving their processes.
arxiv
An Analysis of Elusive Relationships in Floating Zone Growth Using Data Mining Techniques
Advanced Theory and Simulations, EarlyView.Ultra‐pure silicon single‐crystals can be grown by the Floating Zone (FZ) method. This study investigates intricate relationships between process stability measures and multiple growth parameters by applying data mining techniques on FZ simulations. Regression Trees identified multivariate relationships that help explaining complex interactions between
Lucas Vieira +3 more
wiley +1 more source
Deanthroponymic Names of Ural Minerals: Word-Formation Patterns
Вопросы ономастикиThe study investigates the nomenclature of Ural minerals derived from anthroponyms. The data was sourced from printed and electronic publications on geology and mineralogy. The aim of the research is to analyze the primary word-formation patterns evident
Yuri S. Kostylev +1 more
doaj +1 more source
Database Reverse Engineering based on Association Rule Mining [PDF]
IJCSI, Volume 7, Issue 2, March 2010, 2010 Maintaining a legacy database is a difficult task especially when system documentation is poor written or even missing. Database reverse engineering is an attempt to recover high-level conceptual design from the existing database instances. In this paper, we propose a technique to discover conceptual schema using the association mining technique.
arxiv