What Is (Not) Big Data Based on Its 7Vs Challenges: A Survey

Round 1

Reviewer 1 Report

1. I feel that the Introduction section is far too long and therefore difficult for potential readers to follow and understand. As such, I recommend rethinking and redoing it, in addition, I think it is necessary to create a new Literature Review section in which the opinions of other authors who have published reference works for the field addressed in this paper should be presented, thus establishing the benchmarks where authors should start their research and where their original contributions to the field can be easily identified.

2. The three terms that represent the foundation of the work (Data Mining, KDD, Big Data) have a major practical value, and the lack of practical exercises/applications, which I consider mandatory, greatly reduce the possibility of understanding the research activity they have carried out -its authors and reduce its scientific value.

3. Realization of the practical exercises/applications and the presentation of the results obtained as a result of their running will create the necessary framework for understanding the meaning of the phrases in the title of the paper "WHAT IS (NOT) BIG DATA AND ITS 7VS CHALLENGES..." and will determine the need to create a new section Results and Discussions, which will support the concluding part of the paper and demonstrate whether or not the authors have achieved the objectives assumed in the research activity undertaken.

4. I recommend rethinking and redoing the list of bibliographic references by including within it a significant number of works, relevant to the field addressed, which were published in the last five years.

Author Response

1. 1. I feel that the Introduction section is far too long and therefore difficult for potential readers to follow and understand. As such, I recommend rethinking and redoing it,
   • Thank you, after reading it, we think that we wrote a lot of information in it, you are right. We have checked the introduction and moved some paragraphs to other parts, creating a smaller introduction. We think and hope that now is clearer than before.

   in addition, I think it is necessary to create a new Literature Review section in which the opinions of other authors who have published reference works for the field addressed in this paper should be presented, thus establishing the benchmarks where authors should start their research and where their original contributions to the field can be easily identified.

   • Thank you so much for the suggestion. We have created a new section and improved a lot the study of this article. All the new information is in the new section 3.
   2. The three terms that represent the foundation of the work (Data Mining, KDD, Big Data) have a major practical value, and the lack of practical exercises/applications, which I consider mandatory, greatly reduce the possibility of understanding the research activity they have carried out -its authors and reduce its scientific value.
   • Thank you so much for your suggestion. We have added some of the last most relevant works in the literature in Data Mining, KDD, and Big Data (sections 2.1.4, 2.2.3 and 2.3.2). Now, we think that these new sections help the readers to understand better each term and their uses.
   3. Realization of the practical exercises/applications and the presentation of the results obtained as a result of their running will create the necessary framework for understanding the meaning of the phrases in the title of the paper "WHAT IS (NOT) BIG DATA AND ITS 7VS CHALLENGES..." and will determine the need to create a new section Results and Discussions, which will support the concluding part of the paper and demonstrate whether or not the authors have achieved the objectives assumed in the research activity undertaken.
   • Thank you so much for your suggestion. We have created this new section, explaining the whole process and the data obtained from the different studies. In this way, we hope that now, we demonstrate better the objective and finality of this paper. Besides, we have improved the introduction and conclusions to adapt them to this new change.
   • We have changed the title to show better the line of this paper.
   • We have added more information in the conclusions, adding the results and possible. future work.
   4. I recommend rethinking and redoing the list of bibliographic references by including within it a significant number of works, relevant to the field addressed, which were published in the last five years.
   • Thank you so much for your kind comment. We have read and added more and new references of the last five years. Some of the old references continue in there because we think that they are relevant because they are the original ones or relevant works.

    

    

Reviewer 2 Report

The authors surveyed several terminologies: data mining, kdd, and big data. 

For data mining, the authors compared it with data analytics, discussed patterns/models, and presented a taxonomy of methods used in data mining.

For kdd, authors differentiated kdd vs. data mining and discussed 8 phases in kdd.

For big data, the authors discussed definitions by companies and academies and details of 7Vs.

Overall, this survey is organized around the terms: data mining->kdd->big data but did not discuss the related techniques of each term/name. 

For a high-level overview of general terms, this looks ok. However, I would like to see more about the related techniques and the link between techniques and surveyed terms.

Moreover, some references are from more than 10 years ago, which I would expect more recent data given the rapid evolvement in the big data area.

Author Response

Overall, this survey is organized around the terms: data mining->kdd->big data but did not discuss the related techniques of each term/name.

• Thanks so much for your comment. We have added more information, different examples of last year of different terms to show the differences and some algorithms that are used in them. The new information is in sections 2.1.4, 2.2.3, and 2.3.2.

For a high-level overview of general terms, this looks ok. However, I would like to see more about the related techniques and the link between techniques and surveyed terms.

• Thank you so much for your suggestion. We have added some of the last most relevant works in the literature in Data Mining, KDD, and Big Data (sections 2.1.4, 2.2.3, and 2.3.2). Now, we have that these new sections help the readers to understand better each term and their uses.

Moreover, some references are from more than 10 years ago, which I would expect more recent data given the rapid evolvement in the big data area.

• Thank you so much for your kind comment. We have read and added more and new references of the last five years. Some of the old references continue there because we think that they are relevant because they are the original ones or relevant works.

Reviewer 3 Report

Thank you for the opportunity to review this paper. The authors applied a survey about Big Data and its caracteristics. However,  this article needs some modifications to be suitable for publication.
- The novelty of this paper should be further justified and to establish the contributions to the new body of knowledge.
- The Discussion section need more details and elaboration by using graphs and illustrative figures.
- Focus your main findings in the conclusion section.
-The authors should elaborate more on the practical implications of their study, as well as the limitations of the study, and further research opportunities.
- Most of the references used are old, authors should add new relevant references

Author Response

- The novelty of this paper should be further justified and to establish the contributions to the new body of knowledge.

• Thank you so much for your suggestion. We have added some of the last most relevant works in the literature in Data Mining, KDD, and Big Data (sections 2.1.4, 2.2.3 and 2.3.2). Now, we have that these new sections help the readers to understand better each term and their uses.

- The Discussion section need more details and elaboration by using graphs and illustrative figures.

• Thank you so much. We have created a new section and improve a lot the study of this article. All the new information is in the new section 3. We have added new tables to show the information. We hope this would improve the article and how the reader read it.

- Focus your main findings in the conclusion section.

• Thank you so much for your suggestion. We have added more information in the conclusions, adding the results and possible future work.

-The authors should elaborate more on the practical implications of their study, as well as the limitations of the study, and further research opportunities.

• Thanks, you are right. We have added a new section and improved a lot of the different state of the art to explain better the implications and the limitations.
• Besides, we have improved the introduction and the conclusions to reflect them.

- Most of the references used are old, authors should add new relevant references

• Thank you so much for your kind comment. We have read and added more and new references of the last five years. Some of the old references continue there because we think that they are relevant because they are the original ones or relevant works.

Round 2

Reviewer 1 Report

Accept in present form.

Reviewer 2 Report

Overall, it looks in good shape

Reviewer 3 Report

Thank you, I suggest to accept this paper