7387 search results - page 493 / 1478 » Knowledge-based data mining |
127
click to vote
KDD
2003
ACM
16 years 5 months ago
2003
ACM
Defining outliers by their distance to neighboring examples is a popular approach to finding unusual examples in a data set. Recently, much work has been conducted with the goal o...
149
Voted
ICDM
2003
IEEE
15 years 10 months ago
2003
IEEE
A major obstacle to fully integrated deployment of many data mining algorithms is the assumption that data sits in a single table, even though most real-world databases have compl...
160
click to vote
CIDM
2007
IEEE
15 years 8 months ago
2007
IEEE
Web-Streaming lectures overcome the space and time barriers between learning and teaching, but bring higher requirements on the learning feedback of students when they browse lectu...
160
Voted
FUZZIEEE
2007
IEEE
15 years 11 months ago
2007
IEEE
— Data mining is most commonly used in attempts to induce association rules from transaction data. Most previous studies focused on binary-valued transaction data. Transaction da...
125
click to vote
DAWAK
2004
Springer
15 years 10 months ago
2004
Springer
All methods of association rule mining require the frequent sets of items, that occur together sufficiently often to be the basis of potentially interesting rules, to be first com...