Efficient Discovery of Periodic-Frequent Patterns in Columnar Temporal Databases
, Palla Likhitha 2,†, Bathala Venus Vikranth Raj 2,†, Rage Uday Kiran 1,3,*,†, Yutaka Watanobe 1 and Koji Zettsu 3Round 1
Reviewer 1 Report
The paper proposes an algorithm that can find periodic-frequent patterns in a columnar temporal database. The proposed method effectively finds patterns by transforming a columnar temporal database into a row database. Overall, the paper is well written and easy to follow. Especially, the examples are very helpful for understanding the paper. The experiments support the authors' claim.
Authors need to proofread the manuscript to correct some minor grammatical errors and typos.
I think the paper is very high-quality considering the novelty of the idea and the comprehensiveness of the experiments.
Author Response
Point 1:
Authors need to proofread the manuscript to correct some minor grammatical errors and typos:
Response 1: Corrected some of the minor grammatical errors and typos.
Reviewer 2 Report
Dear authors,
I enjoyed reading your paper.
It still needs some improvements, namely:
-English language and style. Grammarly on American EN and default settings indicated 94 critical (correctness) issues, and 228 advanced ones including word choice, passive voice misuse, wordy and/or unclear sentences, punctuation in complex sentences, and more ( Grammarly report at: https://tinyurl.com/pe7us47e );
-Fig.11 and Fig.12 are included in the References section. Put them in the content (section 5.6) or create the Appendix section and reference them correspondingly (e.g. Figure A11 - Appendix section);
-"Row oriented database" instead of "row database" - pg.5 (line 201). The same in the title of Table 1;
- Report the exact Intel CPU code used for tests (e.g. Core i5-3320M) and its entire frequency range (e.g. between 2.6 GHz and 3.3 GHz, as base frequency and Turbo Boost, respectively);
- Report the plural (milliseconds NOT millisecond) on the Y-axis in Figures 4 and 7;
- Provide more explanations regarding the sets of values you report (e.g. {1197, 1631, 1156} after line 59; and those on Figures 11 and 12). I mean to describe exactly what is each value in the comma-separated sets of values you report (What type of sensor measurements? What indicates each of them? What is the range of possible values for each?).
Sincerely,
D.H.
Author Response
Here I have attached the response to the reviewer suggestions,
Thank you very much for your valuable suggestions.
Author Response File: 
Author Response.pdf
