美国计算机协会
期刊
会议
图书
作者:Ihab Ilyas , Xu Chu
来源:[B].ACM Books2019ACM
摘要:Data quality is one of the most important problems in data management, since dirty data often leads to inaccurate data analytics results and incorrect business decisions. Poor data across businesses and the U.S. government are reported to cost trillions of dollars a year. Multipl...
作者:Ihab Ilyas , Xu Chu
来源:[B].ACM Books2019ACM
摘要:Data quality is one of the most important problems in data management, since dirty data often leads to inaccurate data analytics results and incorrect business decisions. Poor data across businesses and the U.S. government are reported to cost trillions of dollars a year. Multipl...
作者:Ihab Ilyas , Xu Chu
来源:[B].ACM Books2019ACM
摘要:Data quality is one of the most important problems in data management, since dirty data often leads to inaccurate data analytics results and incorrect business decisions. Poor data across businesses and the U.S. government are reported to cost trillions of dollars a year. Multipl...
作者:Ihab Ilyas , Xu Chu
来源:[B].ACM Books2019ACM
摘要:Data quality is one of the most important problems in data management, since dirty data often leads to inaccurate data analytics results and incorrect business decisions. Poor data across businesses and the U.S. government are reported to cost trillions of dollars a year. Multipl...
作者:Ihab Ilyas , Xu Chu
来源:[B].ACM Books2019ACM
摘要:Data quality is one of the most important problems in data management, since dirty data often leads to inaccurate data analytics results and incorrect business decisions. Poor data across businesses and the U.S. government are reported to cost trillions of dollars a year. Multipl...
作者:Ihab Ilyas , Xu Chu
来源:[B].ACM Books2019ACM
摘要:Data quality is one of the most important problems in data management, since dirty data often leads to inaccurate data analytics results and incorrect business decisions. Poor data across businesses and the U.S. government are reported to cost trillions of dollars a year. Multipl...
作者:Ihab Ilyas , Xu Chu
来源:[B].ACM Books2019ACM
摘要:Data quality is one of the most important problems in data management, since dirty data often leads to inaccurate data analytics results and incorrect business decisions. Poor data across businesses and the U.S. government are reported to cost trillions of dollars a year. Multipl...
作者:Ihab Ilyas , Xu Chu
来源:[B].ACM Books2019ACM
摘要:Data quality is one of the most important problems in data management, since dirty data often leads to inaccurate data analytics results and incorrect business decisions. Poor data across businesses and the U.S. government are reported to cost trillions of dollars a year. Multipl...
作者:Ihab Ilyas , Xu Chu
来源:[B].ACM Books2019ACM
摘要:Data quality is one of the most important problems in data management, since dirty data often leads to inaccurate data analytics results and incorrect business decisions. Poor data across businesses and the U.S. government are reported to cost trillions of dollars a year. Multipl...
作者:Ihab Ilyas , Xu Chu
来源:[B].ACM Books2019ACM
摘要:Data quality is one of the most important problems in data management, since dirty data often leads to inaccurate data analytics results and incorrect business decisions. Poor data across businesses and the U.S. government are reported to cost trillions of dollars a year. Multipl...

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