[PDF] Top 20 Fast Semantic Duplicate Detection Techniques in Databases

... diverse techniques of dedupli- cation on the following 5 criteria: recall, the number of candidate pairs, execu- tion time, and memory space used, reduction ...use techniques based on the principle of ... See full document

... real-world databases that are assured by the vital data clean-up process ...and databases. Data pre-processing techniques deals with the detection and removal of redundant and error contained ... See full document

... of duplicate records is an important problem in data management ...various techniques for record matching is explained with their advantages and ...for duplicate matching of valid ...out ... See full document

... When comparing the different variants with additional features to the blocking baseline without additional features, there are several differences. The blocking baseline with 200 training samples is scoring higher than ... See full document

... of semantic duplicates imposes a challenge on the quality management of large datasets such as medical datasets and recommendation ...large databases necessitate ...two techniques are used to ... See full document

... existing techniques used for detecting non identical duplicate entries in database ...presented techniques we believe that there is still room for substantial improvement in the current ...and ... See full document

... bibliographic databases are maintained with the algorithms of record ...progressive techniques like pay-as-you-go [11] algorithms were used for integration on large scale ... See full document

... of databases to carry out ...the databases can have significant cost implications to a system that relies on information to function and conduct ...on duplicate detection, also known as entity ... See full document

... approximately duplicate record detection in large ...performing fast partition pruning. Finally, duplicate records are effectively detected by using internal and external partition comparison ... See full document

... learning techniques to incorporate additional features for the improvement of text summarization ...chains, semantic features such as name entities, time, location information etc Visual Gupta, ... See full document

... many databases that see an equivalent ...Removing duplicate records during a single info could be a crucial step within the knowledge cleanup method, as a result of duplicates will severely influence the ... See full document

... The next major and crucial step in this module is blocking. Blocking “typically refers to the procedure of subdividing data into a set of mutually exclusive subsets (blocks) under the assumption that no matches occur ... See full document

... multiple databases of information about common entities are frequently encountered in KDD [6] and decision support applications in large commercial and government ...numerous duplicate information entries ... See full document

... multiple databases of information about common entities are frequently encountered in KDD [6] and decision support applications in large commercial and government ...numerous duplicate information entries ... See full document

... [10] Saini Mayank, Sharma Dharmendar and P. K. Gupta, “Enhancing Information Retrieval Efficiency Using Semantic-based-Combined-Similarity-Measure”; International Conference on Image Information Processing (ICIIP ... See full document

... near duplicate (ND) identification, in this section we present a brief review of existing datasets and of their usage in past ...near duplicate keyframes (NDK) in video ... See full document

... relational databases becomes one of ordinary needs of Semantic Web and networked enterprises where knowledge models are emerging in various new fields ...relational databases (and vice versa) are ... See full document

... between databases have been ...these databases is the necessity of a knowledge base for mapping between two ...the databases. The structure of semantic database makes the creation of a ... See full document

... More specifically, the distance of two records in theirrank-distance gives PSNM an approximate of theirmatching likelihood. The PSNM algorithm uses thisperception to iteratively vary the window size, startingwith a low ... See full document

... near duplicate web pages are stopping the process of search ...of duplicate and near duplicates, the common issue for the search engines is raising the indexed storage ...Duplication detection is the ... See full document