منصور ذوالقدر جهرمی
دانشیار، گروه علوم و مهندسی کامپیوتر، دانشکده مهندسی، دانشگاه شیراز
[ 1 ] - AIS-RCA: روشی مؤثر برای بهبود فضای ویژگی‌ها در افزایش دقت تشخیص حملات صرع
پیش‌بینی زمان وقوع حملات صرع در بیماران از جمله موضوعاتیست که مورد توجه محققان است. حملات صرع به طور نامنظم و غیر قابل پیش‌بینی شده‌ای اتفاق می‌افتند. بنابراین تشخیص حملات صرع از روی سیگنال‌های EEGکه در بازة زمانی طولانی گرفته می‌شوند؛ بسیار حائز اهمیت است. این امر تشخیصی به دو مرحله مجزای استخراج ویژگی‌ها از قطعات سیگنال EEGو اعم...
[ 2 ] - A Margin-based Model with a Fast Local Searchnewline for Rule Weighting and Reduction in Fuzzynewline Rule-based Classification Systems
Fuzzy Rule-Based Classification Systems (FRBCS) are highly investigated by researchers due to their noise-stability and interpretability. Unfortunately, generating a rule-base which is sufficiently both accurate and interpretable, is a hard process. Rule weighting is one of the approaches to improve the accuracy of a pre-generated rule-base without modifying the original rules. Most of the pro...
[ 3 ] - Entropy Based Fuzzy Rule Weighting for Hierarchical Intrusion Detection
Predicting different behaviors in computer networks is the subject of many data mining researches. Providing a balanced Intrusion Detection System (IDS) that directly addresses the trade-off between the ability to detect new attack types and providing low false detection rate is a fundamental challenge. Many of the proposed methods perform well in one of the two aspects, and concentrate on a su...
[ 4 ] - GENERATING FUZZY RULES FOR PROTEIN CLASSIFICATION
This paper considers the generation of some interpretable fuzzy rules for assigning an amino acid sequence into the appropriate protein superfamily. Since the main objective of this classifier is the interpretability of rules, we have used the distribution of amino acids in the sequences of proteins as features. These features are the occurrence probabilities of six exchange groups in the seque...
[ 5 ] - USING DISTRIBUTION OF DATA TO ENHANCE PERFORMANCE OF FUZZY CLASSIFICATION SYSTEMS
This paper considers the automatic design of fuzzy rule-basedclassification systems based on labeled data. The classification performance andinterpretability are of major importance in these systems. In this paper, weutilize the distribution of training patterns in decision subspace of each fuzzyrule to improve its initially assigned certainty grade (i.e. rule weight). Ourapproach uses a punish...
[ 6 ] - NEW CRITERIA FOR RULE SELECTION IN FUZZY LEARNING CLASSIFIER SYSTEMS
Designing an effective criterion for selecting the best rule is a major problem in theprocess of implementing Fuzzy Learning Classifier (FLC) systems. Conventionally confidenceand support or combined measures of these are used as criteria for fuzzy rule evaluation. In thispaper new entities namely precision and recall from the field of Information Retrieval (IR)systems is adapted as alternative...
[ 7 ] - روشی کارا برای کاوش مجموعه اقلام پرتکرار در تحلیل داده‌های سبد خرید
Discovery of hidden and valuable knowledge from large data warehouses is an important research area and has attracted the attention of many researchers in recent years. Most of Association Rule Mining (ARM) algorithms start by searching for frequent itemsets by scanning the whole database repeatedly and enumerating the occurrences of each candidate itemset. In data mining problems, the size of ...
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