標(biāo)題: Titlebook: An Introduction to Duplicate Detection; Felix Naumann,Melanie Herschel Book 2010 Springer Nature Switzerland AG 2010 [打印本頁] 作者: GRASS 時(shí)間: 2025-3-21 17:28
書目名稱An Introduction to Duplicate Detection影響因子(影響力)
書目名稱An Introduction to Duplicate Detection影響因子(影響力)學(xué)科排名
書目名稱An Introduction to Duplicate Detection網(wǎng)絡(luò)公開度
書目名稱An Introduction to Duplicate Detection網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱An Introduction to Duplicate Detection被引頻次
書目名稱An Introduction to Duplicate Detection被引頻次學(xué)科排名
書目名稱An Introduction to Duplicate Detection年度引用
書目名稱An Introduction to Duplicate Detection年度引用學(xué)科排名
書目名稱An Introduction to Duplicate Detection讀者反饋
書目名稱An Introduction to Duplicate Detection讀者反饋學(xué)科排名
作者: CRANK 時(shí)間: 2025-3-21 22:02 作者: 冰雹 時(shí)間: 2025-3-22 00:23
Book 2010 duplicates, are one of the most intriguing data quality problems. The effects of such duplicates are detrimental; for instance, bank customers can obtain duplicate identities, inventory levels are monitored incorrectly, catalogs are mailed multiple times to the same household, etc. Automatically de作者: Insensate 時(shí)間: 2025-3-22 07:14 作者: 原來 時(shí)間: 2025-3-22 11:37
Das extrapyramidal-motorische System,e real-world object in the data. For instance, an individual might be represented multiple times in a customer database, a single product might be listed many times in an online catalog, and data about a single type protein might be stored in many different scientific databases.作者: Aspirin 時(shí)間: 2025-3-22 15:50 作者: Orthodontics 時(shí)間: 2025-3-22 20:04
Problem Definition,ection in data stored in a single relation, a focus we maintain throughout this lecture. We then discuss the complexity of the problem in Section 2.2. Finally, in Section 2.3, we highlight issues and opportunities that exist when data exhibit more complex relationships than a single relation.作者: LURE 時(shí)間: 2025-3-23 00:32 作者: TOM 時(shí)間: 2025-3-23 04:35 作者: Longitude 時(shí)間: 2025-3-23 05:48
Evaluating Detection Success,nd. Difficulties that prevent a benchmark data set are privacy and confidentiality concerns regarding the data. In this section, we first describe standard measures for success, in particular precision and recall. We then proceed to discuss existing data sets and data generators.作者: Physiatrist 時(shí)間: 2025-3-23 12:14 作者: Magnificent 時(shí)間: 2025-3-23 16:03 作者: analogous 時(shí)間: 2025-3-23 19:00 作者: Esalate 時(shí)間: 2025-3-23 22:52
Paralysis agitans und verwandte Syndrome,ms to tackle the problem. Before delving into the details of such algorithms in the subsequent chapters, we first formally define the problem. More specifically, we start the discussion by providing a definition of the duplicate detection task in Section 2.1. This definition focuses on duplicate det作者: 擴(kuò)大 時(shí)間: 2025-3-24 05:45 作者: majestic 時(shí)間: 2025-3-24 07:19
Das extrapyramidal-motorische System,nd. Difficulties that prevent a benchmark data set are privacy and confidentiality concerns regarding the data. In this section, we first describe standard measures for success, in particular precision and recall. We then proceed to discuss existing data sets and data generators.作者: 膽小懦夫 時(shí)間: 2025-3-24 11:28
Das extrapyramidal-motorische System,. Duplicates appear in many data sets, from customer records and business transactions to scientific databases and Wikipedia entries. The problem definition — finding multiple representations of the same real world object — is concise, crisp, and clear, but it is comprised of two very difficult prob作者: overhaul 時(shí)間: 2025-3-24 18:06
978-3-031-00707-1Springer Nature Switzerland AG 2010作者: 不如屎殼郎 時(shí)間: 2025-3-24 20:11
An Introduction to Duplicate Detection978-3-031-01835-0Series ISSN 2153-5418 Series E-ISSN 2153-5426 作者: Oratory 時(shí)間: 2025-3-25 01:24 作者: 信條 時(shí)間: 2025-3-25 03:25 作者: 典型 時(shí)間: 2025-3-25 09:43 作者: comely 時(shí)間: 2025-3-25 14:33
Data Cleansing: Introduction and Motivation, sources, data quality problems abound. One of the most intriguing data quality problems is that of multiple, yet different representations of the same real-world object in the data. For instance, an individual might be represented multiple times in a customer database, a single product might be lis作者: 粗鄙的人 時(shí)間: 2025-3-25 15:50 作者: OWL 時(shí)間: 2025-3-25 22:37 作者: canvass 時(shí)間: 2025-3-26 02:21
Evaluating Detection Success,nd. Difficulties that prevent a benchmark data set are privacy and confidentiality concerns regarding the data. In this section, we first describe standard measures for success, in particular precision and recall. We then proceed to discuss existing data sets and data generators.作者: figure 時(shí)間: 2025-3-26 06:18
Conclusion and Outlook,. Duplicates appear in many data sets, from customer records and business transactions to scientific databases and Wikipedia entries. The problem definition — finding multiple representations of the same real world object — is concise, crisp, and clear, but it is comprised of two very difficult prob作者: Coronary 時(shí)間: 2025-3-26 09:23 作者: prosthesis 時(shí)間: 2025-3-26 13:47
Book 2010res improve the effectiveness of duplicate detection. (ii) Algorithms are developed to perform on very large volumes of data in search for duplicates. Well-designed algorithms improve the efficiency of duplicate detection. Finally, we discuss methods to evaluate the success of duplicate detection. T作者: 后天習(xí)得 時(shí)間: 2025-3-26 18:15
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