Classification is a data mining (machine learning) technique used to assign group membership to various data instances. Indeed there are many classification techniques available for a scientist wishing to discover a model for his/her data. This diversity can cause trouble as to which method should be applied to which data set to solve a particular domain concentrated problem. This review paper ...

While previous sentiment analysis research has concentrated on the interpretation of explicitly stated opinions and attitudes, this work initiates the computational study of a type of opinion implicature (i.e., opinion-oriented inference) in text. This paper described a rule-based framework for representing and analyzing opinion implicatures which we hope will contribute to deeper automatic int...

One of the key technologies of data mining is the automatic induction of rules from examples, particularly the induction of classification rules. Most work in this field has concentrated on the generation of such rules in the intermediate form of decision trees. An alternative approach is to generate modular classification rules directly from the examples. This paper seeks to establish a revise...

  Blackleg in cattle has been recognized since 1938 in Iran that mostly affects cattle in enzootic farm. Main object of this study was to prepare and formulate a concentrated potent vaccine for immunization of cattle against blackleg in Iran. Experimental concentrated blackleg vaccine was prepared according to the method described by FAO. The medium (Modified medium for production of experiment...

We revisit earlier attempts for finding matrix exponential (ME) distributions of a given order with low coefficient of variation (cv). While there is a long standing conjecture that for the first non-trivial order, which is order 3, the cv cannot be less than 0.200902 but the proof of this conjecture is still missing. In previous literature ME distributions with low cv are obtained from special...