data cleansing
process of detecting and correcting (or removing) corrupt, inaccurate or unwanted records from a record set
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data cleansing
Summary
data cleansing is a process[1]. It draws 230 Wikipedia views per month (process category, ranking #39 of 244).[2]
Key Facts
- data cleansing's instance of is recorded as process[3].
- data cleansing's subclass of is recorded as data management[4].
- data cleansing's Freebase ID is recorded as /m/09mlf2[5].
- data cleansing's described by source is recorded as Data Mining: Practical Machine Learning Tools and Techniques[6].
- data cleansing's different from is recorded as redaction[7].
- data cleansing's ACM Classification Code is recorded as 10003218[8].
- data cleansing's BabelNet ID is recorded as 02921131n[9].
- data cleansing's Google Knowledge Graph ID is recorded as /g/122x84c2[10].
- data cleansing's Quora topic ID is recorded as Data-Cleansing[11].
- data cleansing's subreddit is recorded as datacleaning[12].
- data cleansing's P6009 is recorded as 1174[13].
- data cleansing's Microsoft Academic ID is recorded as 42199009[14].
- data cleansing's Australian Educational Vocabulary ID is recorded as scot/16644[15].
- data cleansing's GitHub topic is recorded as data-cleansing[16].
- data cleansing's TaDiRAH ID is recorded as dataCleansing[17].
- data cleansing's OpenAlex ID is recorded as C42199009[18].
- data cleansing's Encyclopedia of China is recorded as 217399[19].
- data cleansing's Encyclopedia of China is recorded as 26835[20].
Why It Matters
data cleansing draws 230 Wikipedia views per month (process category, ranking #39 of 244).[2] It has Wikipedia articles in 13 language editions, a strong signal of global cultural recognition.[21] It is known by 16 alternative names across languages and contexts.[22]