Travelled to:
1 × Cyprus
1 × Germany
1 × Greece
1 × Italy
5 × USA
Collaborated with:
X.Shang I.Geist E.Schallehn D.Klan K.Hose O.Dunemann M.Karnstedt F.Beier K.Stolze C.Lemke G.Saake M.Marx M.Paradies S.Malaika J.Siméon S.Khatchadourian J.Yang T.Simon C.Mueller C.Pölitz C.Franke M.Haß M.Hauswirth B.Sapkota R.Schmidt
Talks about:
databas (3) data (3) frequent (2) aggreg (2) queri (2) mine (2) sql (2) semistructur (1) distribut (1) wireless (1)
Person: Kai-Uwe Sattler
DBLP: Sattler:Kai=Uwe
Contributed to:
Wrote 12 papers:
- SAC-2012-ParadiesMSKS #in the cloud #semistructured data
- Entity matching for semistructured data in the Cloud (MP, SM, JS, SK, KUS), pp. 453–458.
- PDP-2011-YangSMKS #fault tolerance #protocol
- Comparing and Refining Gossip Protocols for Fault Tolerance in Wireless P2P Systems (JY, TS, CM, DK, KUS), pp. 595–599.
- SIGMOD-2011-BeierSS #online
- Online reorganization in read optimized MMDBS (FB, KS, KUS), pp. 1125–1136.
- SAC-2009-KarnstedtKPSF #adaptation #detection
- Adaptive burst detection in a stream engine (MK, DK, CP, KUS, CF), pp. 1511–1515.
- CIKM-2008-KarnstedtSHHSS #database #query
- Estimating the number of answers with guarantees for structured queries in p2p databases (MK, KUS, MH, MH, BS, RS), pp. 1407–1408.
- VLDB-2008-HoseKMS #question
- When is it time to rethink the aggregate configuration of your OLAP server? (KH, DK, MM, KUS), pp. 1492–1495.
- CIKM-2006-HoseLS #distributed #summary #using
- Processing relaxed skylines in PDMS using distributed data summaries (KH, CL, KUS), pp. 425–434.
- SAC-2005-ShangS #database #mining #relational
- Depth-first frequent itemset mining in relational databases (XS, KUS), pp. 1112–1117.
- SAC-2004-ShangSG #generative #mining #sql
- SQL based frequent pattern mining without candidate generation (XS, KUS, IG), pp. 618–619.
- VLDB-2003-SattlerGS #named
- QUIET: Continuous Query-driven Index Tuning (KUS, IG, ES), pp. 1129–1132.
- CIKM-2001-SattlerD #classification #database #sql
- SQL Database Primitives for Decision Tree Classifiers (KUS, OD), pp. 379–386.
- CIKM-2001-SchallehnSS #integration
- Advanced Grouping and Aggregation for Data Integration (ES, KUS, GS), pp. 547–549.