Ex Parte SayalDownload PDFPatent Trial and Appeal BoardNov 21, 201410873556 (P.T.A.B. Nov. 21, 2014) Copy Citation UNITED STATES PATENT AND TRADEMARK OFFICE ____________________ BEFORE THE PATENT TRIAL AND APPEAL BOARD ____________________ Ex parte MEHMET SAYAL ____________________ Appeal 2012-007003 Application 10/873,556 Technology Center 2100 ____________________ Before: JOSEPH L. DIXON, JAMES R. HUGHES, and ERIC S. FRAHM, Administrative Patent Judges. DIXON, Administrative Patent Judge. DECISION ON APPEAL Appeal 2012-007003 Application 10/873,556 2 STATEMENT OF CASE Appellant appeals under 35 U.S.C. § 134 from a rejection of claims 1– 3, 5, 6, 8–14, and 17–26. Claims 4, 7, 15, and 16 have been canceled. We have jurisdiction under 35 U.S.C. § 6(b). We affirm. The claims are directed to system and method for correlation of time- series data. Claim 1, reproduced below, is illustrative of the claimed subject matter: 1. A processor-based method for discovering time correlations among data, comprising: inputting time-series data including multiple time-series data streams from a processor-readable medium; summarizing the time-series data at different time granularities; detecting change points in the time-series data; reducing a many-to-many comparison or a many-to-one comparison of the multiple time-series data streams to a one-to- one comparison; performing the one-to-one comparison of the multiple time-series data streams based on the change points to generate correlation rules; and detecting correlations between the time-series data based on the correlation rules. Appeal 2012-007003 Application 10/873,556 3 REFERENCES The prior art relied upon by the Examiner in rejecting the claims on appeal is: Whight US 2001/0003821 A1 June 14, 2001 Baker US 6,336,103 B1 Jan.1, 2002 McGee US 2003/0088542 A1 May 8, 2003 Landau US 2004/0027349 A1 Feb.12, 2004 Murakami US 2004/0044613 A1 Mar. 4, 2004 Kumar US 6,834,266 B2 Dec. 21, 2004 REJECTIONS The Examiner made the following rejections: Claims 1, 3, 5, 6, 8–11, 13, 14, 17, 18, 20–22, 24, and 25 stand rejected under 35 U.S.C. § 103(a) as being unpatentable over Landau, in view of McGee, further in view of Kumar. Claims 2, 12, and 19 stand rejected under 35 U.S.C. §103(a) as being unpatentable over Landau, McGee and Kumar, further in view of Baker. Claim 23 stands rejected under 35 U.S.C. § 103(a) as being unpatentable over Landau, McGee and Kumar, further in view of Murakami. Claim 26 stands rejected under 35 U.S.C. § 103(a) as being unpatentable over Landau, McGee and Kumar, further in view of Whight. ANALYSIS Appellant elected to group independent claims 1, 11, 18, and 22 together. (App. Br. 6-13). We select independent claim 1 as the representative claim for the group and will address Appellant’s arguments thereto. Appeal 2012-007003 Application 10/873,556 4 Appellant contends that Landau, McGee, and the Kumar references do not teach all of the limitations recited in claim 1, including "detecting change points in the time-series data." (App. Br. 8). Appellant contends that Landau reference does not detect change points in time-series data wherein "[i]n contrast, the present claims are directed to finding time correlations among time-series data through the detection of specific change points within the time-series data sets, for example, using statistical methods such as CUSUM." (App. Br. 8). We note that the Examiner has not relied upon the Landau reference to detect change points (Ans. 5–6), and we further find Appellant's argument is not commensurate in scope with the express language of independent claim 1 regarding the statistical methods. Appellant further contends that the McGee reference does not disclose detection of change points and specifically distinguishes "detection of specific change points within time-series data." (App. Br. 9). Appellant further contends: the teachings of McGee differ entirely from the method of the present claims, because McGee fails to disclose any sort of statistical method for tracking change points between time- series data sets. The mention of "tracking changes" in the histograms generated according to the teachings of McGee is explicitly for the purpose of determining how the data values change for each step in the histogram. See id., paras. [0046], [0151]. In contrast, the method of the current invention involves the detection of specific change points within time- series data. Therefore, the Appellant respectfully asserts that the teachings of McGee also fail to disclose detecting change points in time-series data, as generally recited. (App. Br. 9). Again, Appellant’s argument is not commensurate in scope with the express language of independent claim 1 where "specific change Appeal 2012-007003 Application 10/873,556 5 points" are not expressly recited, and Appellant asserts that the McGee reference fails to disclose detecting change points in time-series data as generally recited in the independent claims. We find Appellant’s general assertion to be unpersuasive of error in the Examiner's conclusion of obviousness of representative independent claim 1. Appellant further contends in addition to the above differences that: In addition to the differences discussed above, independent claim 1 recites "reducing a many-to-many comparison or a many-to-one comparison of the multiple time-series data streams to a one-to-one comparison." … As discussed in the Specification, a "one-to-one" comparison may be defined as the simplest form of time-series comparison, whereby two time- series data streams are compared with each other to find correlations. See Specification, paras. [0027]-[0031]. This type of comparison can be simpler than many-to-many comparisons and many-to-one comparisons of multiple time-series data streams. See id. The reduction of many-to-many comparisons or many-to-one comparisons to one-to-one comparisons, as recited by the present claims, may be accomplished using reduction techniques such as convolution. See id., paras. [0031]-[0033]. (App. Br. 10). Appellant summarizes the disclosures of the references and generally contends that the references fail to disclose reducing a many-to- many comparison or a many-to-one comparison of the multiple time-series data streams to a one-to-one comparison, as broadly claimed. (App. Br. 11- 12). The Examiner maintains that the technique of convolution is not recited in the express language of independent claim 1 and therefore Appellant's argument is not persuasive of error in the Examiner's conclusion of obviousness. (Ans. 17–18). The Examiner maintains that the broadest reasonable interpretation of the claimed "reducing" step is taught and Appeal 2012-007003 Application 10/873,556 6 suggested by Kumar’s clustering and weighted average. (Ans. 18). We agree with the Examiner's claim interpretation and findings and adopt them as our own. Therefore, Appellant has not shown error in the Examiner's underlying factual findings and ultimate conclusion of obviousness, and we sustain the Examiner's rejection of representative independent claim 1 and independent claims 11, 18, and 22 and their respective dependent claims grouped therewith by Appellant. With respect to dependent claims 2, 12, and 19, Appellant argues the claims as a group. (App. Br. 13). Therefore, we select dependent claim 2 as the representative claim for the group and will address Appellant's arguments thereto. Appellant relies upon the arguments advanced with respect to independent claim 1 and further contends that Baker does not detect change points and reducing reduce a many-to-many or many-to-one comparison to a one-to-one comparison of time-series data sets. (App. Br. 13-14). The Examiner does not rely upon Baker to teach or suggest detecting change points. The Examiner relies upon the Baker reference to teach and suggest the use of convolution to achieve optimum correlation. (Ans. 19). Therefore, Appellant’s argument does not show error in the Examiner's conclusion of obviousness of representative dependent claim 2. With respect to dependent claim 23, Appellant relies upon the arguments advanced with respect to independent claim 1 which we found unpersuasive of error (supra). (App. Br. 14–15). Since we found those arguments unpersuasive in the ultimate conclusion of obviousness, we sustain the rejection of dependent claim 23. With respect to dependent claim 26, Appellant contends that "[t]o the extent that Whight discloses the use of the CUSUM statistical method, Whight does not disclose the detection of specific change points according Appeal 2012-007003 Application 10/873,556 7 to such a method" and repeats the arguments advanced with respect to independent claim 1. (App. Br. 17–18). As discussed above, we find Appellant's general arguments concerning "specific change points" to be of incommensurate scope with the express claim language, and we find Appellant's arguments to independent claim 1 to be unpersuasive of error. Therefore, we sustain the rejection of dependent claim 26. CONCLUSION The Examiner did not err in rejecting claims 1–3, 5, 6, 8–14, and 17– 26 based upon obviousness. DECISION For the above reasons, the Examiner’s obviousness rejections of claims 1–3, 5, 6, 8–14, and 17–26 are sustained. No time period for taking any subsequent action in connection with this appeal may be extended under 37 C.F.R. § 1.136(a)(1)(iv) (2011). AFFIRMED lv Copy with citationCopy as parenthetical citation