| 1. | To require us to correct inaccurate data
要求本局更正不准确的资料 |
| 2. | Input of inaccurate data only brings large amounts of useless data to the enterprise
输入错误资料只会带来一大堆劣质的企业资讯。 |
| 3. | However , in multithreaded scenarios , some updates to the counter value might be ignored , resulting in inaccurate data
但是，在多线程方案中对计数器值的某些更新可能被忽略，导致数据不准确。 |
| 4. | E - holders providing incomplete or inaccurate data may be denied access to the e - account and be ineligible for using the services and information on the website
帐户持有人如提供不完备或不正确的资料，可能引致无法使用其电子帐户和失去使用该等网上服务及资料的资格。 |
| 5. | Section 25 ( 2 ) also requires a data user to annex a note on the relevant files where the allegedly inaccurate data relate and to provide a copy of the note to the requestor
第25 ( 2 )条规定资料使用者在有关档案中，就准确性存疑的资料加上一项附注，并向提出要求者提供一份该项附注的复本。 |
| 6. | " we are constantly being presented with inaccurate data that everyone is ' at it like rabbits ' which makes people feel worried , " dr petra boynton of university college london told the daily telegraph
伦敦大学学院心理学博士波特恩说： “我们（英国人）常常被媒体歪曲成‘像兔子一样干个不停’ ，这让人很尴尬。 ” |
| 7. | " we are constantly being presented with inaccurate data that everyone is " at it like rabbits " which makes people feel worried , " dr petra boynton of university college london told the daily telegraph
伦敦大学学院心理学博士波特恩说： “我们英国人常常被媒体歪曲成‘像兔子一样干个不停’ ，这让人很尴尬。 ” |
| 8. | Rough set theory is a data mining approach capable of dealing with incomplete and inaccurate data , and it has been successfully applied to artificial intelligence and knowledge discovery , pattern recognition and classification , and fault detection
粗糙集理论是数据挖掘的方法之一，它是处理模糊和不确定知识的一种数学工具,已在人工智能与知识发现,模式识别与分类,故障检测等方面得到了较好应用。 |
| 9. | Rough set theory is an important tool to extract knowledge in databases . due to its capability of dealing with incomplete and inaccurate data , and the high readability of the rules extracted , rough set theory has been considered the apple of researchers " eyes recently
因为粗糙集理论能够处理不完备不准确的数据并且其提取出的规则易于理解，同时，自粗糙集于八十年代提出之后，其已成功地运用于许多商业应用中，因而粗糙集理论得到了众多研究者的青睐。 |
