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Advancements in Genetic Programming for Data Classification

Thesis Info

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Author

Jabeen, Hajira

Program

PhD

Institute

National University of Computer and Emerging Sciences

City

Islamabad

Province

Islamabad

Country

Pakistan

Thesis Completing Year

2010

Thesis Completion Status

Completed

Subject

Computer Science

Language

English

Link

http://prr.hec.gov.pk/jspui/handle/123456789/1058

Added

2021-02-17 19:49:13

Modified

2024-03-24 20:25:49

ARI ID

1676727695521

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This thesis aims to advance the state of the art in data classification using Genetic programming (GP). GP is an evolutionary algorithm that has several outstanding features making it ideal for complex problems like data classification. However, it suffers from a few limitations that reduce its significance. This thesis targets at proposing optimal solutions to these GP limitations. The problems covered in this thesis are: 1. Increase in GP tree complexity during evolution that results in long training time. 2. Lack of convergence to a single (optimal) solution. 3. Lack of methodology to handle mixed data-type without type transformation. 4. Search of a better method for multi-class classification. Through this work, we have proposed a method which achieves significant reduction in bloat for classification task. Moreover, we have presented a Particle Swarm Optimization based hybrid approach to increase performance of GP evolved classifiers. The approach offers better performance in less computational effort. Another approach introduces a new two layered paradigm for mixed type data classification with an added feature that uses data in its original form instead of any transformation or pre-processing. The last but not the least contribution is an efficient binary encoding method for multi-class classification problems. The method involves smaller number of GP evolutions, reducing the computation and suffers from fewer conflicts yielding better results. All of the proposed methods have been tested and our experiments conclude the efficiency of proposed approaches.
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مولانا عبداللطیف نعمانی

مولانا عبداللطیف نعمانی
مولانا عبداللطیف نعمانی ایک مشہور عالم اورصاحب درس وتدریس بزرگ تھے۔ ایک مدت سے مؤ،ضلع اعظم گڑھ کے مدرسہ مفتاح العلوم میں شیخ الحدیث کے عہدہ پرفائز تھے۔ اگرچہ سیاست کامیدان بھی ان کے تگ وتاز سے محروم نہیں رہا لیکن ان کاعمربھر کامشغلہ درس وتدریس تھا۔علوم دینیہ کے علاوہ منطق اورفلسفہ میں بھی ان کوبڑاکمال تھا۔سینکڑوں طلباء ان کے فیضِ تعلیم و تربیت سے مستفیض ہوئے۔ [فروری۱۹۷۳ء]

 

حضرت عائشہؓ کے اصول استنباط : ایک تحقیقی مطالعہ

This article dealt with the description of services of Hażrat ‘Āyeshah (R. A) in the field of principles of derivation of legal rules from the legal texts of the Holy Quran and prophetic traditions, which is the second part of the series, in first part Quran was focused in this regard while in this article other sources of Islamic law as Prophetic tradition etc. Have been discussed and their applications in the juristic approach of Hażrat ‘Āyeshah, likewise, Qiyās is a method that uses analogy/ comparison to derive Islamic legal rulings for new developments due to importance and the need of society. Umm Al-Momineen Hażrat ‘Āyeshah (R. A) used to derive a ruling for new situations that are not addressed by Qur’an and Sunnah. Istiḥsān is the fourth principle of derivation of Aḥkām. Likewise, other sources considered by her including Istiḥsān, Istisḥāb, ‘Urf as principle of derivation of Aḥkām. ‘Urf is an Arabic Islamic term referring to the custom or knowledge of a given society. Furthermore, the method adopted for research is deductive. The study found that Hażrat ‘Āyeshah applied the said sources in her process of derivation of legal rules of Islam, which were followed by Muslim jurists in this regard, So it is recommended that student of Islamic Law should study efforts of the companion of Prophet peace be upon him and their principles in the field.

Molecular Epidemiology of Campylobacter Species Isolated from Meat Source in Lahore - Pakistan

Thermotolerant Campylobacter, one of the well-known bacterial causes of foodborne illnesses in humans, worldwide. These bacteria are gram-negative short rods which grow under microaerobic conditions and are non-spore forming. Campylobacteriosis is characterized by diarrhea, abdominal pain, cramps and fever. The diarrhea may be associated with blood and can be accompanied by vomiting/nausea. Digestive tract of all warm blooded animal is a significant reservoir for Campylobacter species. Campylobacter causes huge economic losses to a country by restricting trade in international market for meat and meat products. A total of 600 meat samples were collected from three different species (i.e., Beef (n=200), mutton (n=200) and poultry (n=200)) during September 2014 to February 2015 from ten administrative towns of district Lahore (Pakistan). From each town 20 samples of each species were collected through convenience sampling method thus from each town 60 samples and from 10 towns 600 samples were collected for this study. Data regarding factors associated with Campylobacter were collected through a pre-designed questionnaire. The collected samples were transported at 4˚C to laboratory of Epidemiology & Public Health department for further processing. The ISO 10272-1:2006 (E) was followed for the conventional microbiological isolation and confirmation of Campylobacter species. DNA was extracted with the help of Qiagen kit and DNA was quantified by Nanodrop C2000 (Thermo Scientific). The isolated strains (in 20% glycerol) and the extracted DNA were stored at -80˚C and -20˚C, respectively. Real Time and multiplex PCRs were optimized for molecular detection and identification of Campylobacter species in meat. Sangar method was used for sequencing of the genes and phylogenetic trees were generated with the help of Mega 6.0 software. The isolated strains were characterized by MLST (Multi Locus Sequence Typing) according to protocol described by pubmlst.org.com. The identified sequences were processed, entered and queried to PubMLST data base for comparison with already existing Campylobacter species alleles to obtain specific allelic numbers and sequence types (STs) for our isolates (http://campylobacter.mlst.net/). Antibiotic susceptibility tests for selected isolates were performed according to the Kirby-Bauer method. Chi square test was applied to see the association of various factors with Campylobacter strains circulating in meat sources in Lahore. A total of 125 Campylobacter isolates were recovered from 600 meat samples. The percentage prevalence was 20.8%. Campylobacter isolates were frequently present in poultry meat, followed by mutton and beef with 29%, 18% and 15.5%, respectively. Campylobacter jejuni was isolated from 93 meat samples and C. coli from 32 samples. The prevalence of Campylobacter in poultry was 29% (58/200). In these positive samples C. jejuni was frequently isolated (38/58) as well as C. coli (20/58). From mutton out of 200 samples, 36 were found positive for Campylobacter species. Campylobacter jejuni was isolated from 69.4% (25/36), C. coli 30.6% (11/36). A total of 31 samples were positive for Campylobacter isolates. The contribution Campylobacter jejuni and Campylobacter coli in beef was 61.2 % (19/31) and 38.8% (12/31), respectively. MLST analysis of 3 Campylobacter jejuni and 3 Campylobacter coli isolates yielded 2 different STs (i.e., 5 ST 1769 belongs to 828 CCs and 1 ST 2282 belongs to 206 CC). The highest resistance was observed against enrofloxacin 79.2% (99/125), followed by tylosin 77.6% (97/125), ciprofloxacin and amoxicillin 71.2% (89/125), colistin 69.6% (87/125), neomycin 32.8% (41/125), nalidixic acid 31.2% (39/125), gentamicin 25.6% (32/125) and doxycycline 8.8% (11/125). Thus doxycycline (91.2%) was found drug of choice followed by gentamicin (74.4%), nalidixic acid (68.2%) and neomycin (59.2%).