首页|Patent Issued for Detecting and correcting outliers in categories of transaction s (USPTO 11907208)
Patent Issued for Detecting and correcting outliers in categories of transaction s (USPTO 11907208)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A patent by the inventors Altman, Noah Eyal (Hod HaSharon, IL), Hochma, Yael (Tel Aviv, IL), Tayeb, Yaakov (Tzur Hadas sa, IL), Van Noort, Rineke (London, GB), filed on January 31, 2023, was publishe d online on February 20, 2024, according to news reporting originating from Alex andria, Virginia, by NewsRx correspondents. Patent number 11907208 is assigned to Intuit Inc. (Mountain View, California, Un ited States). The following quote was obtained by the news editors from the background informa tion supplied by the inventors: "Aspects of the present disclosure relate to det ecting and correcting outliers in categories of transactions. "In many software applications, data, such as transaction records, may be classi fied in order to perform various tasks with respect to specific types of transac tions. For example, in a software application used for accounting and tracking o f expenses and income, transaction records associated with each of a plurality o f transactions may be classified to allow for aggregation and analysis of specif ic types of transactions (e.g., for categorical expense tracking, tax preparatio n purposes, and so on). In some cases, these transactions may be categorized man ually. However, manual categorization of transaction records may be inaccurate, which may cause downstream processes based on such classification to also be ina ccurate. In other cases, machine learning models, such as classification models, can be used to classify transactions. However, these machine learning models ma y also not accurately classify transactions, which may similarly cause downstrea m processes based on such classification to also be inaccurate.
NETL
NSTL
