Communications of the ACM
Use of decision tables in computer programming
Communications of the ACM
Conversion of decision tables to computer programs
Communications of the ACM
Data, documentation, and decision tables
Communications of the ACM
On storage space of decision tables
Communications of the ACM
Conversion of limited-entry decision tables to computer programs
Communications of the ACM
Conversion of decision tables to computer programs by rule mask techniques
Communications of the ACM
An engineering application of logic-structure tables
Communications of the ACM
IEEE Transactions on Computers
Optimal Partitioning for Classification and Regression Trees
IEEE Transactions on Pattern Analysis and Machine Intelligence
Translation of Decision Tables
ACM Computing Surveys (CSUR)
Conversion of decision tables to efficient sequential testing procedures
Communications of the ACM
The synthetic approach to decision table conversion
Communications of the ACM
Combining decision rules in a decision table
Communications of the ACM
Conversion of decision tables by rule mask method without rule mask
Communications of the ACM
Information theory applied to the conversion of decision tables to computer programs
Communications of the ACM
Application of Information Theory to Sequential Fault Diagnosis
IEEE Transactions on Computers
Compiling optimized code from decision tables
IBM Journal of Research and Development
Information theory-based code optimization of matrix elements for overall rotation angular momenta
BIOCOMPUCHEM'09 Proceedings of the 3rd WSEAS International Conference on Computational Chemistry
WSEAS Transactions on Information Science and Applications
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Pollack has proposed an algorithm for converting decision tables into flowcharts which minimize subsequent execution time when compiled into a computer program. Two modifications o this algorithm are proposed. The first relies on Shannon's noiseless coding theorem and the communications concept of entropy but does not completely test the ELSE Rule. The second modification completely tests the ELSE Rule but results in more executions than the first modification. Both modifications result in lower execution time than Pollack's algorithm. However, neither modification guarantees a globally optimal solution.