Conference Name:19th International Conference on Database Systems for Advanced Applications, DASFAA 2014. Conference Address: Bali, Indonesia. Time:April 21, 2014 - April 24, 2014.In the age of big data, the data quality problem is more severe than ever. As an essential step in data cleaning, similarity join has attracted lots of attentions from the database community. In this work, to address the similarity join problem with edit-distance constraints, we first improve the partition-based join algorithm for small scale data. Then we extend the algorithm based on MapReduce framework for large-scale data. Extensive experiments on both real and simulated datasets demonstrate the efficiency of our algorithms. ? 2014 Springer International Publi...
Given a large collection of tree-structured objects (e.g., XML documents), the similarity join finds...
Set similarity join is an essential operation in data integration and big data analytics, that finds...
Similarity Join plays an important role in data integration and cleansing, record linkage and data d...
Similarity join is the problem of finding pairs of records with simi-larity score greater than some ...
As an essential operation in data cleaning, the similarity join has attracted considerable attention...
As an essential operation in data cleaning, the similarity join has attracted considerable attention...
As an essential operation in data cleaning, the similarity join has attracted considerable attention...
Similarity Joins are recognized to be among the most useful data processing and analysis operations....
Similarity Joins are recognized to be among the most useful data processing and analysis operations....
which permits unrestricted use, distribution, and reproduction in any medium, provided the original ...
Abstract—The Earth Mover’s Distance (EMD) similarity join retrieves pairs of records with EMD below ...
© 2015 Dr. Jin HuangSimilarity analytic techniques such as distance based joins and regularized lear...
Algorithms for computing similarity joins in MapReduce were offered in [2]. Similarity joins ask to ...
Cloud enabled systems have become a crucial component to efficiently process and analyze massive amo...
Abstract: Data analytics gets faced with huge and tremendously increasing amounts of data for which ...
Given a large collection of tree-structured objects (e.g., XML documents), the similarity join finds...
Set similarity join is an essential operation in data integration and big data analytics, that finds...
Similarity Join plays an important role in data integration and cleansing, record linkage and data d...
Similarity join is the problem of finding pairs of records with simi-larity score greater than some ...
As an essential operation in data cleaning, the similarity join has attracted considerable attention...
As an essential operation in data cleaning, the similarity join has attracted considerable attention...
As an essential operation in data cleaning, the similarity join has attracted considerable attention...
Similarity Joins are recognized to be among the most useful data processing and analysis operations....
Similarity Joins are recognized to be among the most useful data processing and analysis operations....
which permits unrestricted use, distribution, and reproduction in any medium, provided the original ...
Abstract—The Earth Mover’s Distance (EMD) similarity join retrieves pairs of records with EMD below ...
© 2015 Dr. Jin HuangSimilarity analytic techniques such as distance based joins and regularized lear...
Algorithms for computing similarity joins in MapReduce were offered in [2]. Similarity joins ask to ...
Cloud enabled systems have become a crucial component to efficiently process and analyze massive amo...
Abstract: Data analytics gets faced with huge and tremendously increasing amounts of data for which ...
Given a large collection of tree-structured objects (e.g., XML documents), the similarity join finds...
Set similarity join is an essential operation in data integration and big data analytics, that finds...
Similarity Join plays an important role in data integration and cleansing, record linkage and data d...