Person: Kenji Yamanishi

DBLP: Yamanishi:Kenji

Contributed to:

2015

2012

2009

2005

2004

2003

2002

2001

2000

1999

1991

Wrote 13 papers:

KDD-2015-MayaMMAY #clustering #using

Discovery of Glaucoma Progressive Patterns Using Hierarchical MDL-Based Clustering (SM, KM, HM, RA, KY), pp. 1979–1988.

KDD-2012-HiraiY #clustering #detection #normalisation #using

Detecting changes of clustering structures using normalized maximum likelihood coding (SH, KY), pp. 343–351.

KDD-2009-HiroseYNF #detection #equation #network

Network anomaly detection based on Eigen equation compression (SH, KY, TN, RF), pp. 1185–1194.

KDD-2005-YamanishiM #mining #monitoring #network

Dynamic syslog mining for network failure monitoring (KY, YM), pp. 499–508.

KDD-2004-MorinagaY #finite #roadmap #topic #using

Tracking dynamics of topic trends using a finite mixture model (SM, KY), pp. 811–816.

KDD-2003-MorinagaYT #distributed #mining

Distributed cooperative mining for information consortia (SM, KY, JiT), pp. 619–624.

KDD-2002-MorinagaYTF #mining #web

Mining product reputations on the Web (SM, KY, KT, TF), pp. 341–349.

KDD-2002-YamanishiT #detection #framework

A unifying framework for detecting outliers and change points from non-stationary time series data (KY, JiT), pp. 676–681.

KDD-2001-LiY #mining

Mining from open answers in questionnaire data (HL, KY), pp. 443–449.

KDD-2001-YamanishiT

Discovering outlier filtering rules from unlabeled data: combining a supervised learner with an unsupervised learner (KY, JiT), pp. 389–394.

KDD-2000-YamanishiTWM #algorithm #detection #finite #learning #online #using

On-line unsupervised outlier detection using finite mixtures with discounting learning algorithms (KY, JiT, GJW, PM), pp. 320–324.

CIKM-1999-LiY #classification #probability #using

Text Classification Using ESC-based Stochastic Decision Lists (HL, KY), pp. 122–130.

ML-1991-YamanishiK #learning #probability #search-based #sequence

Learning Stochastic Motifs from Genetic Sequences (KY, AK), pp. 467–471.