By Felix Naumann, Melanie Herschel, M. Tamer Ozsu
With the ever expanding quantity of knowledge, info caliber difficulties abound. a number of, but assorted representations of an identical real-world gadgets in info, duplicates, are essentially the most interesting information caliber difficulties. the consequences of such duplicates are harmful; for example, financial institution consumers can receive replica identities, stock degrees are monitored incorrectly, catalogs are mailed a number of instances to a similar loved ones, and so forth. immediately detecting duplicates is tough: First, reproduction representations aren't exact yet somewhat fluctuate of their values. moment, in precept all pairs of files might be in comparison, that's infeasible for big volumes of knowledge. This lecture examines heavily the 2 major parts to beat those problems: (i) Similarity measures are used to immediately establish duplicates while evaluating files. Well-chosen similarity measures increase the effectiveness of reproduction detection. (ii) Algorithms are constructed to accomplish on very huge volumes of knowledge in look for duplicates. Well-designed algorithms enhance the potency of reproduction detection. ultimately, we talk about tips on how to assessment the luck of replica detection. desk of Contents: info detoxification: advent and Motivation / challenge Definition / Similarity features / replica Detection Algorithms / comparing Detection good fortune / end and Outlook / Bibliography
Read or Download An Introduction to Duplicate Detection PDF
Best human-computer interaction books
Task Models and Diagrams for Users Interface Design: 5th International Workshop, TAMODIA 2006, Hasselt, Belgium, October 23-24, 2006, Revised Papers (Lecture ... / Programming and Software Engineering)
This e-book constitutes the completely refereed post-proceedings of the fifth foreign Workshop on job versions and Diagrams for person Interface layout, TAMODIA 2006, held in Hasselt, Belgium in October 2006. The 23 revised complete papers provided including 1 invited paper have been rigorously reviewed and chosen from quite a few submissions for inclusion within the e-book.
Present speech attractiveness platforms be afflicted by version of voice features among audio system as they're often in response to speaker self reliant speech versions. as a way to unravel this factor, model equipment were constructed in lots of cutting-edge platforms. even though, info got over the years continues to be misplaced each time one other speaker intermittentlyuses the popularity method.
This publication constitutes the refereed complaints of the twenty first overseas Symposium on Methodologies for clever platforms, ISMIS 2014, held in Roskilde, Denmark, in June 2014. The sixty one revised complete papers have been conscientiously reviewed and chosen from 111 submissions. The papers are geared up in topical sections on complicated networks and knowledge circulate mining; info mining equipment; clever platforms functions; wisdom illustration in databases and platforms; textual info research and mining; exact consultation: demanding situations in textual content mining and semantic details retrieval; unique consultation: warehousing and OLAPing complicated, spatial and spatio-temporal information; ISMIS posters.
This e-book offers a vast and entire review of the prevailing technical ways within the quarter of silent speech interfaces (SSI), either in concept and in software. every one method is defined within the context of the human speech construction method, permitting the reader to obviously comprehend the rules in the back of SSI quite often and throughout various tools.
- Contextual Design: Evolved (Synthesis Lectures on Human-Centered Informatics)
- Web Application Design Handbook: Best Practices for Web-Based Software (Interactive Technologies)
- The Handbook of Human-Machine Interaction: A Human-Centered Design Approach
- Working Through Synthetic Worlds
- Advances in Information Retrieval: 36th European Conference on IR Research, ECIR 2014, Amsterdam, The Netherlands, April 13-16, 2014, Proceedings (Lecture Notes in Computer Science)
- Advanced Metasearch Engine Technology (Synthesis Lectures on Data Management)
Additional resources for An Introduction to Duplicate Detection
We further discussed similarity measures that keep data as a whole in the form of a string and that compute the similarity of strings based on string edit operations that account for differences in the compared strings. In this section, we discuss similarity measures that combine both tokenization and string similarity in computing a final similarity score. We refer to these algorithms as hybrid similarity functions. 1 extends Jaccard similarity to also include similar tokens in the set of overlapping descriptive data.
59. 342 × 4 where V and W are the q-gram sets of s1 and s2 , respectively. 30 3. 2 EDIT-BASED SIMILARITY Let us now focus on a second family of similarity measures, so called edit-based similarity measures. In contrast to token-based measures, strings are considered as a whole and are not divided into sets of tokens. , insertion of characters, character swaps, deletion of characters, or replacement of characters. 1 EDIT DISTANCE MEASURES In general, the edit distance between two strings s1 and s2 is the minimum cost of transforming s1 into s2 using a specified set of edit operations with associated cost functions.
None of the similarity measures described in this chapter can explicitly cope with this problem, and it is often assumed that such information is used when initializing descriptions in order to avoid the problem. An advantage of the Jaccard coefficient is that it is not sensitive to word swaps. Indeed, the score of two names John Smith and Smith John would correspond to the score of exactly equal strings because the Jaccard coefficient considers only whether a token exists in a string, not at which position.