找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: An Introduction to Duplicate Detection; Felix Naumann,Melanie Herschel Book 2010 Springer Nature Switzerland AG 2010

[復(fù)制鏈接]
查看: 43301|回復(fù): 38
樓主
發(fā)表于 2025-3-21 17:28:32 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱An Introduction to Duplicate Detection
影響因子2023Felix Naumann,Melanie Herschel
視頻videohttp://file.papertrans.cn/156/155223/155223.mp4
學(xué)科分類Synthesis Lectures on Data Management
圖書封面Titlebook: An Introduction to Duplicate Detection;  Felix Naumann,Melanie Herschel Book 2010 Springer Nature Switzerland AG 2010
影響因子With the ever increasing volume of data, data quality problems abound. Multiple, yet different representations of the same real-world objects in data, 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 detecting duplicates is difficult: First, duplicate representations are usually not identical but slightly differ in their values. Second, in principle all pairs of records should be compared, which is infeasible for large volumes of data. This lecture examines closely the two main components to overcome these difficulties: (i) Similarity measures are used to automatically identify duplicates when comparing two records. Well-chosen similarity measures 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
Pindex Book 2010
The information of publication is updating

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




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 22:02:55 | 只看該作者
板凳
發(fā)表于 2025-3-22 00:23:33 | 只看該作者
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
地板
發(fā)表于 2025-3-22 07:14:00 | 只看該作者
5#
發(fā)表于 2025-3-22 11:37:35 | 只看該作者
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.
6#
發(fā)表于 2025-3-22 15:50:15 | 只看該作者
7#
發(fā)表于 2025-3-22 20:04:31 | 只看該作者
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.
8#
發(fā)表于 2025-3-23 00:32:32 | 只看該作者
9#
發(fā)表于 2025-3-23 04:35:26 | 只看該作者
10#
發(fā)表于 2025-3-23 05:48:38 | 只看該作者
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.
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-11 23:34
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
土默特右旗| 石首市| 百色市| 凌云县| 梁平县| 裕民县| 政和县| 云龙县| 海门市| 古田县| 武平县| 来安县| 贵德县| 安陆市| 宜城市| 怀安县| 南投市| 巴东县| 富阳市| 新乐市| 宁乡县| 新巴尔虎右旗| 永修县| 买车| 桦川县| 江川县| 芮城县| 南宁市| 涞源县| 辽源市| 栖霞市| 监利县| 宣汉县| 轮台县| 陵川县| 朝阳县| 绥棱县| 盐山县| 丹阳市| 蓝山县| 淮滨县|