BibSLEIGH corpus
BibSLEIGH tags
BibSLEIGH bundles
BibSLEIGH people
Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
email twitter
Used together with:
measur (7)
rule (5)
associ (4)
base (3)
function (2)

Stem interesting$ (all stems)

15 papers:

SANERSANER-2015-LeL #metric #mining #rule-based #specification
Beyond support and confidence: Exploring interestingness measures for rule-based specification mining (TDBL, DL), pp. 331–340.
SACSAC-2010-HeraviZ #case study #classification #metric
A study on interestingness measures for associative classifiers (MJH, ORZ), pp. 1039–1046.
KDIRKDIR-2009-Exman #composition #named #paradigm
Interestingness — A Unifying Paradigm — Bipolar Function Composition (IE), pp. 196–201.
MLDMMLDM-2007-HebertC #metric
A Unified View of Objective Interestingness Measures (CH, BC), pp. 533–547.
ICEISICEIS-AIDSS-2006-HuynhGB #clustering #metric
Discovering the Stable Clusters between Interestingness Measures (HXH, FG, HB), pp. 196–201.
KDDKDD-2006-LiuZBX #analysis #using
Rule interestingness analysis using OLAP operations (BL, KZ, JB, WX), pp. 297–306.
ICEISICEIS-v2-2005-HuynhGB #clustering #metric
Clustering Interestingness Measures with Positive Correaltion (HXH, FG, HB), pp. 248–253.
SACSAC-2005-NatarajanS #approach #data-driven
A relatedness-based data-driven approach to determination of interestingness of association rules (RN, BS), pp. 551–552.
KDDKDD-2004-JaroszewiczS #network #using
Interestingness of frequent itemsets using Bayesian networks as background knowledge (SJ, DAS), pp. 178–186.
CIKMCIKM-2002-HuangCA #comparison #learning #web
Comparison of interestingness functions for learning web usage patterns (XH, NC, AA), pp. 617–620.
Selecting the right interestingness measure for association patterns (PNT, VK, JS), pp. 32–41.
KDDKDD-1999-Sahar #what
Interestingness via What is Not Interesting (SS), pp. 332–336.
Interestingness-Based Interval Merger for Numeric Association Rules (KW, SHWT, BL), pp. 121–128.
Evaluating the Interestingness of Characteristic Rules (MK, RS), pp. 263–266.
KDDKDD-1995-SilberschatzT #information management #metric #on the
On Subjective Measures of Interestingness in Knowledge Discovery (AS, AT), pp. 275–281.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.