TY  - BOOK
AU  - 
A2  - Getoor, Ben Taskar Lise
T1  - Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning) 
PB  - 
AD  - 
PY  - 2007/
VL  - 
IS  - 
SP  - 
EP  - 
UR  - 
M3  - 
KW  - 2007
KW  - KI2007WebMining
KW  - learning
KW  - machine
KW  - stat
KW  - statistical
L1  - 
SN  - 
N1  - 
N1  - 
AB  - 
ER  -

TY  - CONF
AU  - Richardson, Matthew
AU  - Prakash, Amit
AU  - Brill, Eric
A2  - Carr, Les
A2  - Roure, David De
A2  - Iyengar, Arun
A2  - Goble, Carole A.
A2  - Dahlin, Michael
T1  - Beyond PageRank: machine learning for static ranking.
T2  - WWW
PB  - ACM
CY  - 
PY  - 2006/
M2  - 
VL  - 
IS  - 
SP  - 707
EP  - 715
UR  - http://dblp.uni-trier.de/db/conf/www/www2006.html#RichardsonPB06
M3  - 
KW  - KI2007WebMining
KW  - learning
KW  - pagerank
KW  - rank
KW  - regression
L1  - 
SN  - 1-59593-323-9
N1  - dblp
N1  - 
AB  - 
ER  -

TY  - GEN
AU  - Baldi, Pierre
AU  - Frasconi, Paolo
AU  - Smyth, Padhraic
A2  - 
T1  - Modeling the Internet and the Web: Probabilistic Methods and Algorithms
JO  - 
PB  - Wiley
AD  - 
PY  - 2003/04
VL  - 
IS  - 
SP  - 
EP  - 
UR  - http://eu.wiley.com/WileyCDA/WileyTitle/productCd-0470849061.html
M3  - 
KW  - KI2007WebMining
KW  - dm
KW  - kdd
KW  - mining
KW  - ml
KW  - web
L1  - 
N1  - 
N1  - 
AB  - Modeling the Internet and the Web covers the most important aspects of modeling the Web using a modern mathematical and probabilistic treatment. It focuses on the information and application layers, as well as some of the emerging properties of the Internet.  Provides a comprehensive introduction to the modeling of the Internet and the Web at the information level.  Takes a modern approach based on mathematical, probabilistic, and graphical modeling.  Provides an integrated presentation of theory, examples, exercises and applications.  Covers key topics such as text analysis, link analysis, crawling techniques, human behaviour, and commerce on the Web. Interdisciplinary in nature, Modeling the Internet and the Web will be of interest to students and researchers from a variety of disciplines including computer science, machine learning, engineering, statistics, economics, business, and the social sciences.
ER  -

TY  - GEN
AU  - 
A2  - Masand, Brij M.
A2  - Spiliopoulou, Myra
T1  - Web Usage Analysis and User Profiling, International WEBKDD'99
<p>               Workshop, San Diego, California, USA, August 15, 1999, Revised
<p>               Papers
JO  - 
PB  - Springer
AD  - 
PY  - 2000/
VL  - 1836
IS  - 
SP  - 
EP  - 
UR  - 
M3  - 
KW  - KI2007WebMining
KW  - dm
KW  - kdd
KW  - mining
KW  - web
KW  - webkdd
KW  - workshop
L1  - 
N1  - DBLP Record 'conf/kdd/1999web'
N1  - 
AB  - 
ER  -