DETAILED ACTION Claims 7-16 are pending. Notice of Pre-AIA or AIA Status 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. Rejections under 35 U.S.C. 101 - abstract idea without significantly more: CLAIMS 7-16 are rejected under 35 U.S.C. 101 because the claimed invention is directed to an abstract idea without significantly more. Regarding independent CLAIMS 7 , 1 5, and 16 - Step 1 Independent claim 7 is drawn to a device , independent claim 1 5 is drawn to a method , and independent claim 16 is drawn to a non-transitory computer readable medium - they fall under a statutory category of invention and thus step 1 of the 101 Analysis is satisfied. Step 2A Prong 1 Claims 7 , 15 , and 1 6 recite the following abstract ideas: Calculating an abnormality degree; Determining whether an abnormality degree satisfies a predetermined criterion. These steps may be performed by the human mind. Step 2A Prong 2 Claims 7 , 15 , and 1 6 recite additional elements, but do not integrate the judicial exception into a practical application. The claims further recite steps of: “ reading pieces of process data ”. The “r eading ” step is considered an insignificant pre-solution activity of data gathering recited at a high level of generality and not performed in a specific manner which would improve the system. The re ading step merely retrieves the data necessary for mental processing and thus does not provide a practical application. Step 2B Claims 7 , 15 and 1 6 do not include additional elements that are sufficient to amount to significantly more than the judicial exception. O ther than reciting “ computer ” and “storage device”, nothing in the claim elements precludes the mental acts/steps from practically being performed in the mind. If a claim limitation, under its broadest reasonable interpretation, covers performance of the limitation in the mind but for the recitation of generic computer components, then it falls within the “Mental Processes” grouping of abstract ideas. Regarding dependent CLAIMS 8-14 It can be noted that the none of the dependent claims add additional element linking the judicial exception into a practical application, or include additional elements that are sufficient to amount to significantly more than the judicial exception. Claims 8-14 recite further steps/limitation of: “ Calculating steps” - The calculating can be performed in the human mind. “Displaying steps” The “displaying” data could be performed with a pen and paper. Displaying data does not serve as an additional element linking/integrate the judicial exception into a practical application. Claim Rejections - 35 USC § 102 In the event the determination of the status of the application as subject to AIA 35 U.S.C. 102 and 103 (or as subject to pre-AIA 35 U.S.C. 102 and 103) is incorrect, any correction of the statutory basis for the rejection will not be considered a new ground of rejection if the prior art relied upon, and the rationale supporting the rejection, would be the same under either status. The following is a quotation of the appropriate paragraphs of 35 U.S.C. 102 that form the basis for the rejections under this section made in this Office action: A person shall be entitled to a patent unless – (a)(1) the claimed invention was patented, described in a printed publication, or in public use, on sale, or otherwise available to the public before the effective filing date of the claimed invention. Claim(s) 7-16 is/are rejected under 35 U.S.C. 102(a)(1) as being anticipated by Willis et al., US Patent No. 7,477,960 (hereinafter Willis ). Regarding claims 7-16, Willis discloses all the claimed limitations, as outlined below: Claim 7. An abnormal irregularity cause identifying device comprising: a process data acquisition unit configured to read, from a storage device storing pieces of process data continuously output by a plurality of sensors included in a production facility and each associated with a management number of a processing target, the pieces of process data; an abnormality determination unit configured to continuously calculate, for each of the plurality of sensors, an abnormality degree representing an extent of an irregularity of process data of the pieces of process data read by the process data acquisition unit; and a cause diagnosis unit configured to determine, for each of the pieces of process data output by the corresponding one of the plurality of sensors and corresponding to the management number of the processing target, whether the abnormality degree calculated by the abnormality determination unit satisfies a predetermined criterion by using causal relation information defining a combination between a cause and the irregularity of the process data output by each of the plurality of sensors, the irregularity appearing as an influence resulting from the cause ( Fig 3, Fig 5, Fig 6, C2 L5-40, C7 L25-67, C8 L1-5 - - Correcting the control strategy, which involve sensors and abnormality/deviation detection. The cause of the deviation and the degree is determined by the statistical control system and the E-diagnostic system. ID information is used at different levels of the overall system ) . Claim 8. The abnormal irregularity cause identifying device according to claim 7, wherein the cause diagnosis unit obtains accuracy of the cause of the irregularity based on a proportion of process data having the abnormality degree calculated by the abnormality determination unit satisfying a predetermined criterion to the pieces of process data output by the plurality of sensors and each corresponding to the management number of the processing target (Fig 3, Fig 5, Fig 6, C2 L5-40, C7 L25-67, C8 L1-5 - - Correcting the control strategy, which involve sensors and abnormality/deviation detection. The cause of the deviation and the degree is determined by the statistical control system and the E-diagnostic system. ID information is used at different levels of the overall system) . Claim 9. The abnormal irregularity cause identifying device according to claim 7, further comprising a preprocessing unit configured to calculate average time-series data by using pieces of process data each corresponding to a stage performed in the production facility and each having the management number that is different and synchronize the pieces of process data based on a degree of similarity to the calculated average time-series data, wherein the abnormality determination unit calculates the abnormality degree based on an extent of divergence from a predetermined criterion, for each of the pieces of process data synchronized, corresponding to the stage, and having the management number that is different (Fig 3, Fig 5, Fig 6, C2 L5-40, C7 L25-67, C8 L1-5 - - Correcting the control strategy, which involve sensors and abnormality/deviation detection. The cause of the deviation and the degree is determined by the statistical control system and the E-diagnostic system. ID information is used at different levels of the overall system) . Claim 10. The abnormal irregularity cause identifying device according to claim 8, further comprising a preprocessing unit configured to calculate average time-series data by using pieces of process data each corresponding to a stage performed in the production facility and each having the management number that is different and synchronize the pieces of process data based on a degree of similarity to the calculated average time-series data, wherein the abnormality determination unit calculates the abnormality degree based on an extent of divergence from a predetermined criterion, for each of the pieces of process data synchronized, corresponding to the stage, and having the management number that is different (Fig 3, Fig 5, Fig 6, C2 L5-40, C7 L25-67, C8 L1-5 - - Correcting the control strategy, which involve sensors and abnormality/deviation detection. The cause of the deviation and the degree is determined by the statistical control system and the E-diagnostic system. ID information is used at different levels of the overall system) . Claim 11. The abnormal irregularity cause identifying device according to claim 7, wherein the process data is associated with a step indicating a phase of processing in a stage performed in the production facility to be stored in the storage device, and the abnormal irregularity cause identifying device further comprises an output control unit configured to make an output device display the pieces of process data each associated with the management number that is different and each corresponding to the step in an overlapping manner (Fig 3, Fig 5, Fig 6, C2 L5-40, C7 L25-67, C8 L1-5 - - Correcting the control strategy, which involve sensors and abnormality/deviation detection. The cause of the deviation and the degree is determined by the statistical control system and the E-diagnostic system. ID information is used at different levels of the overall system) . Claim 12. The abnormal irregularity cause identifying device according to claim 8, wherein the process data is associated with a step indicating a phase of processing in a stage performed in the production facility to be stored in the storage device, and the abnormal irregularity cause identifying device further comprises an output control unit configured to make an output device display the pieces of process data each associated with the management number that is different and each corresponding to the step in an overlapping manner (Fig 3, Fig 5, Fig 6, C2 L5-40, C7 L25-67, C8 L1-5 - - Correcting the control strategy, which involve sensors and abnormality/deviation detection. The cause of the deviation and the degree is determined by the statistical control system and the E-diagnostic system. ID information is used at different levels of the overall system) . Claim 13. The abnormal irregularity cause identifying device according to claim 9, wherein the process data is associated with a step indicating a phase of processing in a stage performed in the production facility to be stored in the storage device, and the abnormal irregularity cause identifying device further comprises an output control unit configured to make an output device display the pieces of process data each associated with the management number that is different and each corresponding to the step in an overlapping manner (Fig 3, Fig 5, Fig 6, C2 L5-40, C7 L25-67, C8 L1-5 - - Correcting the control strategy, which involve sensors and abnormality/deviation detection. The cause of the deviation and the degree is determined by the statistical control system and the E-diagnostic system. ID information is used at different levels of the overall system) . Claim 14. The abnormal irregularity cause identifying device according to claim 10, wherein the process data is associated with a step indicating a phase of processing in a stage performed in the production facility to be stored in the storage device, and the abnormal irregularity cause identifying device further comprises an output control unit configured to make an output device display the pieces of process data each associated with the management number that is different and each corresponding to the step in an overlapping manner (Fig 3, Fig 5, Fig 6, C2 L5-40, C7 L25-67, C8 L1-5 - - Correcting the control strategy, which involve sensors and abnormality/deviation detection. The cause of the deviation and the degree is determined by the statistical control system and the E-diagnostic system. ID information is used at different levels of the overall system) . Claim 15. An abnormal irregularity cause identifying method executed by a computer, the method comprising: reading, from a storage device storing pieces of process data continuously output by a plurality of sensors included in a production facility and each associated with a management number of a processing target, the pieces of process data; continuously calculating, for each of the plurality of sensors, an abnormality degree representing an extent of an irregularity of process data of the pieces of process data that is read; and determining, for each of the pieces of process data output by the corresponding one of the plurality of sensors and corresponding to the management number of the processing target, whether the abnormality degree that is calculated satisfies a predetermined criterion by using causal relation information defining a combination between a cause and the irregularity of the process data output by each of the plurality of sensors, the irregularity appearing as an influence resulting from the cause (Fig 3, Fig 5, Fig 6, C2 L5-40, C7 L25-67, C8 L1-5 - - Correcting the control strategy, which involve sensors and abnormality/deviation detection. The cause of the deviation and the degree is determined by the statistical control system and the E-diagnostic system. ID information is used at different levels of the overall system) . Claim 16. A non-transitory computer readable medium storing an abnormal irregularity cause identifying program causing a computer to perform: reading, from a storage device storing pieces of process data continuously output by a plurality of sensors included in a production facility and each associated with a management number of a processing target, the pieces of process data; continuously calculating, for each of the plurality of sensors, an abnormality degree representing an extent of an irregularity of process data of the pieces of process data that is read; and determining, for each of the pieces of process data output by the corresponding one of the plurality of sensors and corresponding to the management number of the processing target, whether the abnormality degree that is calculated satisfies a predetermined criterion by using causal relation information defining a combination between a cause and the irregularity of the process data output by each of the plurality of sensors, the irregularity appearing as an influence resulting from the cause (Fig 3, Fig 5, Fig 6, C2 L5-40, C7 L25-67, C8 L1-5 - - Correcting the control strategy, which involve sensors and abnormality/deviation detection. The cause of the deviation and the degree is determined by the statistical control system and the E-diagnostic system. ID information is used at different levels of the overall system) . Citation of Pertinent Prior Art The following prior art made of record and not relied upon is considered pertinent to applicant's disclosure: Pleschberger , Martin. Runtime optimization for automated pattern analysis. Diss. Master’s thesis, Alpen-Adria- Universtät Klagenfurt, 2018 – relates to denoising procedures, statistical procedures, wafer tests, and wafermaps . Conclusion Any inquiry concerning this communication or earlier communications from the examiner should be directed to FILLIN "Examiner name" \* MERGEFORMAT CARLOS R ORTIZ RODRIGUEZ whose telephone number is FILLIN "Phone number" \* MERGEFORMAT (571)272-3766 . The examiner can normally be reached on Mon-Fri 10:00 am- 6:30 pm. 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