|
Titel
|
Author
|
Year
|
Type
|
|
Instance Selection and Construction for Data Mining
|
Dragan Gamberger and Nada Lavrac
|
2001
|
Inbook
|
|
Database Systems: The Complete Book
|
Garcia-Molina, Hector and Ullman, Jeffrey D. and Widom, Jennifer D.
|
2001
|
Book
|
|
Pattern Extraction for Time Series Classification
|
Geurts, Pierre
|
2001
|
Inproceedings
|
|
{P}rinciples of {D}ata {M}ining
|
{H}and, {D}avid and {M}annila, {H}eikki and {S}myth, {P}adhraic
|
2001
|
Book
|
|
Semantic {Web} Languages: {RDF} vs. {SOAP} Serialization
|
Stefan Haustein
|
2001
|
Inproceedings
|
|
Utilising an Ontology Based Repository to Connect Web Miners and Application Agents
|
Stefan Haustein
|
2001
|
Inproceedings
|
|
Learning Temporal Rules from State Sequences
|
{H}öppner, {F}rank
|
2001
|
Inproceedings
|
|
{L}ocal {H}armonic {E}stimation in {M}usical {S}ound {S}ignals
|
Irizarry, Rafael A.
|
2001
|
Article
|
|
Learning Temporal Rules from State Sequences
|
Frank H{/"o}ppner
|
2001
|
Inproceedings
|
|
The Maximum-Margin Approach to Learning Text Classifiers: Methods, Theory, and Algorithms
|
Thorsten Joachims
|
2001
|
Phdthesis
|
|
{AI} in Medicine on its way from knowledge-intensive to data-intensive systems
|
Werner Horn
|
2001
|
Article
|
|
Finding Optimal Solutions to Atomix
|
Hüffner, F. and Edelkamp, S. and Fernau, H. and Niedermeier, R.
|
2001
|
Inproceedings
|
|
An Online Algorithm for Segmenting Time Series
|
Keogh, Eamonn and Chu, Selina and Hart, David and Pazzani, Michael
|
2001
|
Inproceedings
|
|
Dimensionality Reduction for Fast Similarity Search in Large Time Series Databases
|
Keogh, Eamonn and Chakrabarti, Kaushik and Pazzani, Michael and Mehrotra, Sharad
|
2001
|
Article
|
|
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
|
Hastie, Trevor and Tibshirani, Robert and Friedman, Jerome
|
2001
|
Book
|
|
Principles of Data Mining
|
David Hand and Heikki Mannila and Padhraic Smyth
|
2001
|
Book
|
|
An efficient index structure for string databases
|
Tamer Kahveci and Ambuj K. Singh
|
2001
|
Inproceedings
|
|
Using Labeled and Unlabeled Data to Learn Drifting Concepts
|
Klinkenberg, Ralf
|
2001
|
Inproceedings
|
|
{MiningMart}: Metadata-Driven Preprocessing
|
Kietz, Jörg--Uwe and Vaduva, Anca and Zücker, Regina
|
2001
|
Inproceedings
|
|
Using Labeled and Unlabeled Data to Learn Drifting Concepts
|
Ralf Klingenberg
|
2001
|
Inproceedings
|
|
Nonstationary signal classification using support vector machine
|
Gretton, A. and Davy, M. and Doucet, A. and Rayner, P.
|
2001
|
Inproceedings
|
|
Classification of German Business Cycles Using Monthly Data
|
U. Heilemann and H.J. Münch
|
2001
|
Book
|
|
Clipping and analyzing news using machine learning techniques
|
Hans Gruendel and Tino Naphtali and Christian Wiech and Jan-Marian Gluba and Maiken Rohdenberg and Tobias Scheffer
|
2001
|
Inproceedings
|
|
{W}issensmanagement in der {C}omputational {I}ntelligence: {S}ystematisierung der {B}eschreibung von {P}roblemen, {M}ethoden und {M}ethodeneinsätzen
|
Klinkenberg, Ralf and Slawinski, Timo
|
2001
|
Inproceedings
|
|
Filtering Noisy Instances and Outliers
|
Dragan Gamberger and Nada Lavrac
|
2001
|
Incollection
|
|
> Show next 25 entries (5325 ... )
|
