Data Mining and Knowledge Discovery
Overview
Data Mining and Knowledge Discovery is a reputable journal that focuses on the exploration and extraction of valuable insights from large datasets. It covers various techniques, algorithms, and methodologies used in data mining, machine learning, and knowledge discovery. The journal aims to promote advancements in these fields and their practical applications across diverse domains, fostering innovation and informed decision-making.
Details
Details
Abbr.
Data Min Knowl Discov
Start
1990s
End
Continuing
Frequency
Bimonthly, 2006-
p-ISSN
1384-5810
e-ISSN
1573-756X
Country
United States
Language
English
Metrics
Metrics
h-index / Ranks: 2345
117
SJR / Ranks: 1416
1813
CiteScore / Ranks: 990
11.80
JIF / Ranks: 1690
4.8
Recent Articles
11.
Hewamalage H, Ackermann K, Bergmeir C
Data Min Knowl Discov
. 2022 Dec;
37(2):788-832.
PMID: 36504672
Recent trends in the Machine Learning (ML) and in particular Deep Learning (DL) domains have demonstrated that with the availability of massive amounts of time series, ML and DL techniques...
12.
P D, Sundaram S
Data Min Knowl Discov
. 2022 Nov;
:1-30.
PMID: 36415752
Pervasiveness of tracking devices and enhanced availability of spatially located data has deepened interest in using them for various policy interventions, through computational data analysis tasks such as spatial hot...
13.
Barreto S, Moura R, Carvalho J, Paes A, Plastino A
Data Min Knowl Discov
. 2022 Nov;
37(1):318-380.
PMID: 36406157
With the exponential growth of social media networks, such as Twitter, plenty of user-generated data emerge daily. The short texts published on Twitter - the tweets - have earned significant...
14.
Halder S, Lim K, Chan J, Zhang X
Data Min Knowl Discov
. 2022 Oct;
36(6):2379-2409.
PMID: 36213564
Point-of-interest (POI) recommendation is a challenging problem due to different contextual information and a wide variety of human mobility patterns. Prior studies focus on recommendation that considers user travel spatiotemporal...
15.
Rhea A, Markey K, DArinzo L, Schellmann H, Sloane M, Squires P, et al.
Data Min Knowl Discov
. 2022 Sep;
36(6):2153-2193.
PMID: 36161238
Automated hiring systems are among the fastest-developing of all high-stakes AI systems. Among these are algorithmic personality tests that use insights from psychometric testing, and promise to surface personality traits...
16.
Arp L, Baratchi M, Hoos H
Data Min Knowl Discov
. 2022 Jul;
36(5):1647-1678.
PMID: 35789913
Given the common problem of missing data in real-world applications from various fields, such as remote sensing, ecology and meteorology, the interpolation of missing spatial and spatio-temporal data can be...
17.
Zhang G, Tatti N, Gionis A
Data Min Knowl Discov
. 2022 May;
36(3):1197-1218.
PMID: 35601821
Submodular maximization has been the backbone of many important machine-learning problems, and has applications to viral marketing, diversification, sensor placement, and more. However, the study of maximizing submodular functions has...
18.
Dzhamtyrova R, Maple C
Data Min Knowl Discov
. 2022 Apr;
36(2):513-536.
PMID: 35401030
The increasing value of data held in enterprises makes it an attractive target to attackers. The increasing likelihood and impact of a cyber attack have highlighted the importance of effective...
19.
Ordozgoiti B, Mahadevan A, Matakos A, Gionis A
Data Min Knowl Discov
. 2022 Apr;
36(2):709-738.
PMID: 35401029
When searching for information in a data collection, we are often interested not only in finding relevant items, but also in assembling a diverse set, so as to explore different...
20.
Matakos A, Gionis A
Data Min Knowl Discov
. 2022 Feb;
36(1):448-476.
PMID: 35125932
Online social networks provide a forum where people make new connections, learn more about the world, get exposed to different points of view, and access information that were previously inaccessible....