Results 71 to 80 of about 22,816,084 (277)
A survey on utilization of data mining approaches for dermatological (skin) diseases prediction [PDF]
, 2011 Due to recent technology advances, large volumes of medical data is obtained. These data contain valuable information. Therefore data mining techniques can be used to extract useful patterns.
Adibi, N +4 more
core
ACM Transactions on Knowledge Discovery from Data, 2014 The problem of frequent pattern mining has been studied quite extensively for various types of data, including sets, sequences, and graphs. Somewhat surprisingly, another important type of data, namely rank data, has received very little attention in data mining so far.
Eyke Hüllermeier, Sascha Henzgen
openaire +4 more sources
EHAFF-NET: Enhanced Hybrid Attention and Feature Fusion for Pedestrian ReID
MathematicsThis study addresses the cross-scenario challenges in pedestrian re-identification for public safety, including perspective differences, lighting variations, occlusions, and vague feature expressions.
Jun Yang +5 more
doaj +1 more source
A Brief Study of Privacy-Preserving Practices (PPP) in Data Mining [PDF]
arXiv, 2023 Data mining is the way toward mining fascinating patterns or information from an enormous level of the database. Data mining additionally opens another risk to privacy and data security.One of the maximum significant themes in the research fieldis privacy-preserving DM (PPDM).
arxiv
Secret charing vs. encryption-based techniques for privacy preserving data mining [PDF]
, 2007 Privacy preserving querying and data publishing has been studied in the context of statistical databases and statistical disclosure control. Recently, large-scale data collection and integration efforts increased privacy concerns which motivated data ...
Pedersen, Thomas Brochmann +4 more
core
Geocarto InternationalIncreasing artificial light at night (ALAN) impacts urban sustainability and contributes to light pollution. Nighttime satellites miss side ALAN, so drone-captured tilted images and measured illuminance are used to assess ALAN pollution within urban ...
Jiejie Wu +5 more
doaj +1 more source
Efficient Generalized Temporal Pattern Mining in Big Time Series Using Mutual Information [PDF]
arXiv, 2023 Big time series are increasingly available from an ever wider range of IoT-enabled sensors deployed in various environments. Significant insights can be gained by mining temporal patterns from these time series. Temporal pattern mining (TPM) extends traditional pattern mining by adding event time intervals into extracted patterns, making them more ...
arxiv
Compressive Mining: Fast and Optimal Data Mining in the Compressed Domain
, 2014 Real-world data typically contain repeated and periodic patterns. This suggests that they can be effectively represented and compressed using only a few coefficients of an appropriate basis (e.g., Fourier, Wavelets, etc.).
Freris, Nikolaos +2 more
core +1 more source
Discovering Knowledge in Data: An Introduction to Data Mining
, 2005 This book is the first volume of a three-volume series on data mining, which introduces the reader to this rapidly growing field. Data mining, which has gained noticeable popularity in the past decade, is essentially an interdisciplinary field bringing ...
N. Chawla
semanticscholar +1 more source
A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection
IEEE Communications Surveys and Tutorials, 2016 This survey paper describes a focused literature survey of machine learning (ML) and data mining (DM) methods for cyber analytics in support of intrusion detection. Short tutorial descriptions of each ML/DM method are provided.
A. Buczak, Erhan Guven
semanticscholar +1 more source