Klemens Böhm

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HiCS: High Contrast Subspaces for Density-Based Outlier Ranking

Fabian Keller, Emmanuel Müller, Klemens Böhm
IEEE 28th International Conference on Data…
2012

Outlier mining is a major task in data analysis. Outliers are objects that highly deviate from regular objects in their local neighborhood. Density-based outlier ranking methods score each object… (More)

Trading Quality for Time with Nearest Neighbor Search

In many situations, users would readily accept an approxima te query result if evaluation of the query becomes faster. In particular, this holds true for Nea rest-Neighbor Search (NN-Search), a… (More)

CMI: An Information-Theoretic Contrast Measure for Enhancing Subspace Cluster and Outlier Detection

Klemens Böhm, Fabian Keller, Emmanuel Müller, Hoang Vu Nguyen, Jilles Vreeken
SDM
2013

In many real world applications data is collected in multi-dimensional spaces, with the knowledge hidden in subspaces (i.e., subsets of the dimensions). It is an open research issue to select… (More)

FAS - A Freshness-Sensitive Coordination Middleware for a Cluster of OLAP Components

Uwe Röhm, Klemens Böhm, Hans-Jörg Schek, Heiko Schuldt
VLDB
2002

Data warehouses offer a compromise between freshness of data and query evaluation times. However, a fixed preference ratio between these two variables is too undifferentiated. With our approach,… (More)

Mining Edge-Weighted Call Graphs to Localise Software Bugs

Frank Eichinger, Klemens Böhm, Matthias Huber
ECML/PKDD
2008

An important problem in software engineering is the automated discovery of noncrashing occasional bugs. In this work we address this problem and show that mining of weighted call graphs of program… (More)

Ranking outlier nodes in subspaces of attributed graphs

Emmanuel Müller, Patricia Iglesias Sánchez, Yvonne Mülle, Klemens Böhm
IEEE 29th International Conference on Data…
2013

Outlier analysis is an important data mining task that aims to detect unexpected, rare, and suspicious objects. Outlier ranking enables enhanced outlier exploration, which assists the user-driven… (More)

Towards Efficient Processing of General-Purpose Joins in Sensor Networks

Mirco Stern, Erik Buchmann, Klemens Böhm
IEEE 25th International Conference on Data…
2009

Join processing in wireless sensor networks is difficult: As the tuples can be arbitrarily distributed within the network, matching pairs of tuples is communication intensive and costly in terms of… (More)

XMLTM: efficient transaction management for XML documents

Torsten Grabs, Klemens Böhm, Hans-Jörg Schek
CIKM
2002

A common approach to storage and retrieval of XML documents is to store them in a database, together with materialized views on their content. The advantage over "native" XML storage managers seems… (More)

Outlier Ranking via Subspace Analysis in Multiple Views of the Data

Emmanuel Müller, Ira Assent, Patricia Iglesias Sánchez, Yvonne Mülle, Klemens Böhm
IEEE 12th International Conference on Data Mining
2012

Outlier mining is an important task for finding anomalous objects. In practice, however, there is not always a clear distinction between outliers and regular objects as objects have different roles… (More)

OLAP Query Routing and Physical Design in a Database Cluster

This article quantifies the benefit from simple data organization schemes and elementary query routing techniques for the PowerDB engine, a system that coordinates a cluster of databases. We report… (More)

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