DETAILED ACTION Notice of Pre-AIA or AIA Status 1. The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA. Claim Rejections - 35 USC § 101 35 U.S.C. 101 reads as follows: Whoever invents or discovers any new and useful process, machine, manufacture, or composition of matter, or any new and useful improvement thereof, may obtain a patent therefor, subject to the conditions and requirements of this title. 2. Claim(s) 19-20 does/do not fall within at least one of the four categories of patent eligible subject matter because : The claim(s) does/do not fall within at least one of the four categories of patent eligible subject matter of a process, machine, manufacture, or composition of matter. The “ computer readable medium ” is given a broadest reasonable interpretation to encompass transitory signal per se. To overcome rejection, the claim must be recited to include “ non-transitory computer readable medium ” that explicitly exclude s “transitory signal”. Such amendment would NOT consider as new matter by the Examiner. Allowable Subject Matter 3 . Claim(s) 1-18 is/are allowed. 4 . The following is an examiner’s statement of reasons for allowance: Shama et al. (US PGPUB./Pat. No. 11768915 ) teach a system, method, and computer program are provided for anomaly detection in time-series data with mixed seasonality. In use, time-series data of a mixed seasonality type is received. Additionally, the time-series data is segmented, by a defined unit of time, to form a plurality of time-series data segments. Further, the plurality of time-series data segments are processed to determine one or more patterns across the plurality of time-series data segments. Still yet, the one or more patterns are stored and used to perform pattern matching for an input time-series. Dharmalingam (US PGPUB./Pat. No. 20210319008 ) teach t echniques are disclosed relating to determining a predicted time interval for querying a database beginning at a starting point in time to retrieve a specified number of records. A computer system receives a request for records from a database that stores timestamped records, where the request is for a specified number of records beginning at a starting point in time. The computer system then determines a predicted time interval for querying the database beginning at the starting point in time to retrieve the specified number of records, where the predicted time interval may be determined by a machine learning module that is trained using historical database transaction data. Such techniques may advantageously improve the efficiency of individual queries in fetching a desired amount of data from a database for applications. The subject matter of the claim(s) that could neither be found/suggested nor obviously combinable in the prior arts of record. The subject matter was a device/method including “… an indication of a first series associated with one or more time stamps before a prediction time stamp indicating a start time of a prediction range; segment a first time period associated with the first series into a second time period bounded by a first time stamp within the first time period and a second time stamp within the first time period and later than the first time stamp, and into a third time period bounded by a third time stamp within the first time period and later than the second timestamp and a fourth time stamp within the first time period and later than the third time stamp; determine a first metric associated with the third time period and based on one or more first data points of a training data set associated with the first series and having time stamps bounded by the first time stamp and the second time stamp within the second time period; generate one or more data points within the third time period based on the first metric; generate, based on a model using machine learning and input comprising the data points generated within the third time period, one or more data points corresponding to a performance of a second series subsequent to the prediction time stamp present, via the user interface, a first presentation that indicates the performance of the second series subsequent to the prediction time stamp in a coordinate space including the third time period; and present, via the user interface, a second presentation that indicates a region in the coordinate space including the third time period, the region corresponding to the performance of the second series subsequent to the prediction time stamp . ” (Claim 1 ; Claim 12 is similar), in combination with the other elements (or steps) of the device or apparatus and method recited in the claims. 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If you would like assistance from a USPTO Customer Service Representative, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. /VINH T LAM/ Primary Examiner, Art Unit 2628