Hasso-Plattner-Institut
Prof. Dr. Felix Naumann
  
 

Arvid Heise

Former PhD student

Email: Arvid Heise

Research Activities

  • Cloud Computing
  • Parallel and Declarative Data Cleansing
  • MapReduce with Hadoop

Publications

Progressive Duplicate Detection

Papenbrock, Thorsten; Heise, Arvid; Naumann, Felix in IEEE Transactions on Knowledge and Data Engineering (TKDE) 2015 .

Duplicate detection is the process of identifying multiple representations of same real world entities. Today, duplicate detection methods need to process ever larger datasets in ever shorter time: maintaining the quality of a dataset becomes increasingly difficult. We present two novel, progressive duplicate detection algorithms that significantly increase the efficiency of finding duplicates if the execution time is limited: They maximize the gain of the overall process within the time available by reporting most results much earlier than traditional approaches. Comprehensive experiments show that our progressive algorithms can double the efficiency over time of traditional duplicate detection and significantly improve upon related work.
ProgressiveDuplicateDetection.pdf
Further Information
Tags data_cleansing duplicate_detection hpi isg
BibTeX