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Annual Report 2010 - Fachgruppe Informatik an der RWTH Aachen ...

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Assent I., Kremer H., Seidl T.: Speeding up Complex Video Copy Detection Queries. Proc.<br />

of the 15th International Conference on Database Systems for Adv<strong>an</strong>ced Applications<br />

(DASFAA <strong>2010</strong>), Tsukuba, Jap<strong>an</strong>, Springer LNCS 5981 P.307-321 (<strong>2010</strong>)<br />

Müller E., Kr<strong>an</strong>en P., Nett M., Reidl F., Seidl T.: Air-Indexing on Error Prone<br />

Communication Ch<strong>an</strong>nels. Proc. of the 15th International Conference on Database Systems<br />

for Adv<strong>an</strong>ced Applications (DASFAA <strong>2010</strong>), Tsukuba, Jap<strong>an</strong>, Springer LNCS 5981 P.505-<br />

519 (<strong>2010</strong>)<br />

Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Kr<strong>an</strong>en P., Kremer H., J<strong>an</strong>sen T., Seidl T.:<br />

MOA: Massive Online Analysis, a Framework for Stream Classification <strong>an</strong>d Clustering.<br />

Journal of Machine Learning Research (JMLR) (<strong>2010</strong>)<br />

Hass<strong>an</strong>i M., Müller E., Spaus P., Faqolli A., Palp<strong>an</strong>as T., Seidl T.: Self-Org<strong>an</strong>izing Energy<br />

Aware Clustering of Nodes in Sensor Networks Using Relev<strong>an</strong>t Attributes. Proc. 4th<br />

International Workshop on Knowledge Discovery from Sensor Data (SensorKDD <strong>2010</strong>) in<br />

conjunction with 16th ACM SIGKDD Conference on Knowledge Discovery <strong>an</strong>d Data Mining<br />

(KDD <strong>2010</strong>), Washington, DC, USA P.87-96 (<strong>2010</strong>)<br />

Müller E.: Mining Subspace Clusters: Enh<strong>an</strong>ced Models, Efficient Algorithms <strong>an</strong>d <strong>an</strong><br />

Objective Evaluation Study. PhD Workshop of the 36th International Conference on Very<br />

Large Data Bases (VLDB <strong>2010</strong>), Singapore (<strong>2010</strong>)<br />

Färber I., Günnem<strong>an</strong>n S., Kriegel H.-P., Kröger P., Müller E., Schubert E., Seidl T., Zimek<br />

A.: On Using Class-Labels in Evaluation of Clusterings. Proc. 1st International Workshop<br />

on Discovering, Summarizing <strong>an</strong>d Using Multiple Clusterings (MultiClust <strong>2010</strong>) in<br />

conjunction with 16th ACM SIGKDD Conference on Knowledge Discovery <strong>an</strong>d Data Mining<br />

(KDD <strong>2010</strong>), Washington, DC, USA (<strong>2010</strong>)<br />

Günnem<strong>an</strong>n S., Färber I., Müller E., Seidl T.: ASCLU: Alternative Subspace Clustering.<br />

Proc. 1st International Workshop on Discovering, Summarizing <strong>an</strong>d Using Multiple<br />

Clusterings (MultiClust <strong>2010</strong>) in conj. with 16th ACM SIGKDD conf. on Knowledge<br />

Discovery <strong>an</strong>d Data Mining (KDD <strong>2010</strong>), Washington, DC, USA (<strong>2010</strong>)<br />

Assent I., Müller E., Günnem<strong>an</strong>n S., Krieger R., Seidl T.: Less is More: Non-Redund<strong>an</strong>t<br />

Subspace Clustering. Proc. 1st International Workshop on Discovering, Summarizing <strong>an</strong>d<br />

Using Multiple Clusterings (MultiClust <strong>2010</strong>) in conjunction with 16th ACM SIGKDD<br />

Conference on Knowledge Discovery <strong>an</strong>d Data Mining (KDD <strong>2010</strong>), Washington, DC, USA<br />

(<strong>2010</strong>)<br />

Assent I., Kr<strong>an</strong>en P., Baldauf C., Seidl T.: Detecting Outliers on Arbitrary Data Streams using<br />

Anytime Approaches. International Workshop on Novel Data Stream Pattern Mining<br />

Techniques (StreamKDD <strong>2010</strong>) in conjunction with 16th ACM SIGKDD International<br />

Conference on Knowledge Discovery <strong>an</strong>d Data Mining (KDD <strong>2010</strong>), Washington, DC, USA<br />

(<strong>2010</strong>)<br />

Kremer H., Günnem<strong>an</strong>n S., Seidl T.: Detecting Climate Ch<strong>an</strong>ge in Multivariate Time Series<br />

Data by Novel Clustering <strong>an</strong>d Cluster Tracing Techniques. Proc. 2nd IEEE ICDM Workshop<br />

on Knowledge Discovery from Climate Data: Prediction, Extremes, <strong>an</strong>d Impacts (CLIMKD<br />

<strong>2010</strong>) in conjunction with IEEE International Conference on Data Mining (ICDM <strong>2010</strong>),<br />

Sydney, Australia (<strong>2010</strong>)<br />

Beecks C., Uysal M., Seidl T.: A Comparative Study of Similarity Measures for Content-<br />

Based Multimedia Retrieval. Proc. IEEE International Conference on Multimedia & Expo<br />

(ICME <strong>2010</strong>), (International Workshop on Visual Content Identification <strong>an</strong>d Search (VCIDS<br />

<strong>2010</strong>)), Singapore P.1552-1557 (<strong>2010</strong>)<br />

319

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