TY  - GEN
N2  - This book presents recent advances in Knowledge discovery in databases (KDD) with a focus on the areas of market basket database, time-stamped databases and multiple related databases. Various interesting and intelligent algorithms are reported on data mining tasks. A large number of association measures are presented, which play significant roles in decision support applications. This book presents, discusses and contrasts new developments in mining time-stamped data, time-based data analyses, the identification of temporal patterns, the mining of multiple related databases, as well as local patterns analysis.
DO  - 10.1007/978-3-319-13212-9
DO  - doi
AB  - This book presents recent advances in Knowledge discovery in databases (KDD) with a focus on the areas of market basket database, time-stamped databases and multiple related databases. Various interesting and intelligent algorithms are reported on data mining tasks. A large number of association measures are presented, which play significant roles in decision support applications. This book presents, discusses and contrasts new developments in mining time-stamped data, time-based data analyses, the identification of temporal patterns, the mining of multiple related databases, as well as local patterns analysis.
T1  - Advances in knowledge discovery in databases
AU  - Adhikari, Animesh,
AU  - Adhikari, Jhimli,
VL  - volume 79
CN  - QA76.9.D343
ID  - 724980
KW  - Data mining.
SN  - 9783319132129
SN  - 3319132121
TI  - Advances in knowledge discovery in databases
LK  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-13212-9
UR  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-13212-9
ER  -