Results 11 to 20 of about 1,594,032 (285)

Mining Views: Database Views for Data Mining [PDF]

2008 IEEE 24th International Conference on Data Engineering, 2008
We present a system towards the integration of data mining into relational databases. To this end, a relational database model is proposed, based on the so called virtual mining views. We show that several types of patterns and models over the data, such as itemsets, association rules and decision trees, can be represented and queried using a unifying ...
Blockeel, Hendrik, Calders, Toon, Fromont, Elisa, Goethals, Bart, Prado, Adriana   +4 more
openaire   +6 more sources

The potential of text mining in data integration and network biology for plant research : a case study on Arabidopsis [PDF]

, 2013
Despite the availability of various data repositories for plant research, a wealth of information currently remains hidden within the biomolecular literature. Text mining provides the necessary means to retrieve these data through automated processing of
De Bodt, Stefanie, Drebert, Zuzanna, Inzé, Dirk, Van de Peer, Yves, Van Landeghem, Sofie   +4 more
core   +2 more sources

Web + Data Mining = Web Mining [PDF]

HMD Praxis der Wirtschaftsinformatik, 2009
Dieser Beitrag gibt eine kurze Beschreibung, was unter dem Begriff Web Mining zu verstehen ist und wie Webdaten mit gangigen Data-Mining-Techniken kombiniert werden konnen, um das Web besser als Informationsquelle nutzbar zu machen. Des Weiteren wird ein Uberblick uber die gangigen Hauptachsen gegeben, entlang derer die meisten aktuellen Entwicklungen ...
openaire   +2 more sources

Deductive data mining.

Psychological Methods, 2019
Data mining methods offer a powerful tool for psychologists to capture complex relations such as interaction and nonlinear effects without prior specification. However, interpreting and integrating information from data mining models can be challenging.
Maxwell Hong, Ross Jacobucci, Gitta Lubke   +2 more
openaire   +4 more sources

Data Mining in Electronic Commerce

, 2006
Modern business is rushing toward e-commerce. If the transition is done properly, it enables better management, new services, lower transaction costs and better customer relations.
Banks, David L., Said, Yasmin H.
core   +1 more source

Efficient Analysis of Pattern and Association Rule Mining Approaches

, 2014
The process of data mining produces various patterns from a given data source. The most recognized data mining tasks are the process of discovering frequent itemsets, frequent sequential patterns, frequent sequential rules and frequent association rules.
Lazzez, Amor, Slimani, Thabet
core   +1 more source

Characterizing the salivary RNA landscape to identify potential diagnostic, prognostic, and follow‐up biomarkers for breast cancer

Molecular Oncology, EarlyView.
This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan, Irina Primac, Emre Etlioglu, Laurens Debruyne, Ann Janssen, Magy Sallam, Kevin Tabury, Roel Quintens, Wiebren Tjalma, Mohammed Abderrafi Benotmane   +9 more
wiley   +1 more source

From data towards knowledge: Revealing the architecture of signaling systems by unifying knowledge mining and data mining of systematic perturbation data [PDF]

, 2013
Genetic and pharmacological perturbation experiments, such as deleting a gene and monitoring gene expression responses, are powerful tools for studying cellular signal transduction pathways.
Cowart, Ashley, Jin, Bo, Lu, Songjian, Lu, Xinghua   +3 more
core   +3 more sources

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

Advanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani, Aditi Singh, Behnam Ashrafi   +2 more
wiley   +1 more source

Low‐Activation Compositionally Complex Alloys for Advanced Nuclear Applications—A Review

Advanced Engineering Materials, EarlyView.
Low‐activation compositionally complex alloys (LACCAs) are advanced metallic materials primarily composed of low‐activation elements, offering advantages such as rapid compliance with operational standards and safe recyclability. This review highlights their potential for extreme high‐temperature irradiation environments as structural materials for ...
Yangfan Wang, Hanliang Zhu, Zhiyang Wang, Zhijun Qiu, Xiao Wang, Zengxi Pan, Hongtao Zhu, Mingxing Zhang, Huijun Li   +8 more
wiley   +1 more source