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Corrigendum to "Best position algorithms for efficient top-k query processing" Inf. Syst 36(6) (2011) 973-989.

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ASAP Top-k Query Processing in Unstructured P2P Systems., , , and . Peer-to-Peer Computing, page 1-10. IEEE, (2010)Entity resolution for probabilistic data., , , and . Inf. Sci., (2014)Best Position Algorithms for Top-k Queries., , and . VLDB, page 495-506. ACM, (2007)Parallel Streaming Implementation of Online Time Series Correlation Discovery on Sliding Windows with Regression Capabilities., , , , , , and . CLOSER, page 681-687. SciTePress, (2019)DPiSAX: Massively Distributed Partitioned iSAX., , , and . ICDM, page 1135-1140. IEEE Computer Society, (2017)Dynamic Workload-Based Partitioning Algorithms for Continuously Growing Databases., , , , and . Trans. Large-Scale Data- and Knowledge-Centered Systems, (2013)An Efficient Solution for Processing Skewed MapReduce Jobs., , , and . DEXA (2), volume 9262 of Lecture Notes in Computer Science, page 417-429. Springer, (2015)Optimizing the Data-Process Relationship for Fast Mining of Frequent Itemsets in MapReduce., , and . MLDM, volume 9166 of Lecture Notes in Computer Science, page 217-231. Springer, (2015)Aggregation-Aware Compression of Probabilistic Streaming Time Series., and . MLDM, volume 9166 of Lecture Notes in Computer Science, page 232-247. Springer, (2015)Data Partitioning for Minimizing Transferred Data in MapReduce., , , , and . Globe, volume 8059 of Lecture Notes in Computer Science, page 1-12. Springer, (2013)