• No results found

duplicate detection

Duplicate Detection By Progressive Sorted   Neighborhood  Method

Duplicate Detection By Progressive Sorted Neighborhood Method

... on duplicate detection often focus on reducing the overall ...of duplicate detection, but in contrast to our progressive techniques, they need to run for certain periods of time and cannot ...

7

Identification of MIR-Flickr near-duplicate images : a benchmark collection for near-duplicate detection

Identification of MIR-Flickr near-duplicate images : a benchmark collection for near-duplicate detection

... The MIR-Flickr image dataset (Huiskes and Lew, 2008; Huiskes et al., 2010) consists of one million “interesting” images downloaded from the website flickr.com through its public API. The “interesting- ness” of the images ...

7

Duplicate Detection by Progressive Sorted   Neighbor Method

Duplicate Detection by Progressive Sorted Neighbor Method

... progressive duplicate detection techniques, called ―hints‖ ...presented duplicate detection approaches calculate a hint only for a specific partition, which is a (possibly large) subset of ...

8

Duplicate Detection Using Scalable and Progressive Approaches

Duplicate Detection Using Scalable and Progressive Approaches

... The quality of those systems is, hence, measured employing a cost-benefit calculation. Particularly for ancient duplicate detection processes, it's tough to fulfill a budget limitation, as a result of their ...

10

A Novel Approach For Progressive Of Duplicate Detection

A Novel Approach For Progressive Of Duplicate Detection

... 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 ...

5

Efficient Near Duplicate Detection for Q&A Forum

Efficient Near Duplicate Detection for Q&A Forum

... Near-duplicate detection has been widely studied over the past several ...on duplicate and near-duplicate de- tection can be roughly divided into two re- search ares: document representation ...

9

AN OPTIMIZED TECHNIQUE FOR DUPLICATE DETECTION IN XML DATA

AN OPTIMIZED TECHNIQUE FOR DUPLICATE DETECTION IN XML DATA

... no duplicate objects are ...given duplicate probability threshold value are ...the duplicate detection process in ...defined duplicate threshold, the object pair is discarded and, thus, ...

6

An Efficient Approach towards Duplicate Detection System

An Efficient Approach towards Duplicate Detection System

... The duplicate detection is the process of identifying the entities who has multiple representation of the same real world entity, as the duplicate detection methods has to process large ...

7

Analysis of an Efficient Approach for Duplicate Detection System

Analysis of an Efficient Approach for Duplicate Detection System

... task. Duplicate detection is the process of identifying those redundant data to reduce storage utilization and avoid the ...Today, duplicate detection methods need to process larger data in ...

12

Fast Semantic Duplicate Detection Techniques in Databases

Fast Semantic Duplicate Detection Techniques in Databases

... Duplicate detection is a very important phase in the deduplication ...the detection, for example forming blocks of similar records to limit the number of comparisons between records (principle of ...

17

Algorithms for Efficient Duplicate Detection

Algorithms for Efficient Duplicate Detection

... The PSNM algorithm differs by dynamically changing the execution order of the comparisons based on look-ahead results. Progressive blocking (PB) algorithm [14] is another method for duplicate detection. It ...

9

Effective Progressive Algorithm for Duplicate Detection on Large Dataset

Effective Progressive Algorithm for Duplicate Detection on Large Dataset

... of duplicate detection for situations with limited execution time; they dynamically change the ranking of comparison candidates based on intermediate results to execute promising comparisons first and less ...

6

Reducing labeled data usage in duplicate detection using deep belief networks

Reducing labeled data usage in duplicate detection using deep belief networks

... Another area that is related to duplicate detection of textual data is natural language processing. One of the important recent developments in natural language processing is word embedding. Traditionally ...

68

DUPLICATE DETECTION USING PROGRESSIVE ARRANGED NEIGHBORHOOD METHOD AND PROGRESSIVE BLOCKING

DUPLICATE DETECTION USING PROGRESSIVE ARRANGED NEIGHBORHOOD METHOD AND PROGRESSIVE BLOCKING

... In the last few years, the economic need for progressive algorithms also initiated some concrete studies in this domain. For instance, pay-as- you-go algorithms for information integration on large scale datasets have ...

9

Productive and Unquestioning Data Duplicate Detection Using REVISE

Productive and Unquestioning Data Duplicate Detection Using REVISE

... duplication detection algorithms [4]. Procedures developed for replicate detection in a lone relation is exactly request to XML facts and figures, due to the differences between the two facts and figures ...

7

Duplicate Detection in the Reuters Collection

Duplicate Detection in the Reuters Collection

... the duplicate detection method, potential duplicates of every document in the Reuters collection were retrieved and placed into one of three sets: documents pairs that appeared to be duplicates but reported ...

12

A Generalization of PSNM and PB Algorithms for Duplicate Detection in a Dataset

A Generalization of PSNM and PB Algorithms for Duplicate Detection in a Dataset

... The quality of those systems is, hence, measured employing a cost-benefit calculation. Particularly for ancient duplicate detection processes, it's troublesome to satisfy a budget limitation, as a result of ...

5

Handling Duplicate Data Detection Of Query Result from Multiple Web Databases Using Unsupervised Duplicate Detection With Blocking Algorithm

Handling Duplicate Data Detection Of Query Result from Multiple Web Databases Using Unsupervised Duplicate Detection With Blocking Algorithm

... non duplicate records from the same source can be used as training ...Unsupervised Duplicate Detection (UDD) uses two cooperating classifiers, a Weighted Component Similarity Summing (WCSS) ...

7

Duplicate Detection by Progressive Techniques

Duplicate Detection by Progressive Techniques

... data duplicate detection ...progressive duplicate detection. We present two novel, progressive duplicate detection algorithms which significantly increases the efficiency of ...

6

Duplicate Detection by Progressive Techniques

Duplicate Detection by Progressive Techniques

... [8]Efficient duplicate detection is an important task especially in large datasets. In this paper, they have compared two important approaches, blocking and windowing, for reducing the number of ...

7

Show all 10000 documents...

Related subjects