New Simplification Rules for Databases with Positive and Negative Attributes

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

The authors propose a new set of rules for the management of databases, with a particular focus on the integration of positive and negative attributes. Their proposal involves the generation of automated logic-based methods, with the aim of eliminating redundancy in a set of mixed implications.In order to strengthen the proposal, the following suggestions are put forward:

 

Firstly, it is considered pertinent to modify the abstract, with a view to highlighting the proposed methodology and the results obtained.

 

Secondly, references should be added and the relevance of the proposals to the research carried out by the working group [7], [17], [20], [24], [25] should be detailed.

 

Thirdly, the methodology should be detailed if several programming languages were used and the algorithms were tested.

 

Fourthly, it would be interesting to include more analysis cases. For example, analysis of Example 2 of reference [20] would be beneficial.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

Comments and Suggestions for Authors

The paper presents simplification algorithms for implications in the mixed attribute paradigm. Preliminaries are give, simplification algorithms are given, properties are demonstrated, and experimental evaluation is performed and presented. The paper is well organized and reasonably clearly written. The presented results show that the newly proposed algorithms show good results in comparison to previous approaches.

The notations in the paper should be fully defined, such as for example in Sec. 2 g/Im, the density in line 352, etc, etc. As another example, $R^2$ appearing in line 395 and other lines should be defined.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf