Integrating Mapreduce with Apriori and Genetic Algorithms for Groceries Transactions Imohammed A

ISSN : 2347 - 8446 (Online) International Journal of Advanced Research in ISSN : 2347 - 9817 (Print) Vol. 7, Issue 3 (July - Sept. 2019) Computer Science & Technology (IJARCST 2019) Integrating Mapreduce with Apriori and Genetic Algorithms for Groceries Transactions IMohammed A. Almorsy, IIMohammed A. El-dosuky, IIISameh Abd Elghani, IVHazem M. El Bakry I,II,III,IVFaculty of Computer & Information Sciences, Mansoura University, EGYPT

Abstract Groceries outlets ever produce massive data of transactions that deserve analysis for customer preferences. This paper reviews big data, Hadoop, association rules, and genetic algorithms. A proposed fusion algorithm for mining groceries transactions is presented. Such algorithm combines mapreduce, Apriori and genetic algorithms for groceries transactions. Simulation results prove the efficiency of the presented algorithm.

Keywords Big Data, Mapreduce, Hadoop, Association Rule, Apriori Algorithm, Genetic Algorithm.

I. Introduction III. Proposed system In big data, data sources with volume is over than the capability Figure 1 depicts the block diagram. of software tools databases that use to handle large amount of datasets such as analysis big data, manage, store and capture [1]. First, use mapreduce algorithm to deal with large datasets. Load Big data is processed using mapreduce, with two functions: one database and split it in to small chunks of data. of mapping that process a key/value pairs to make a collection Second, mapper function that maps input key/value pairs to a set of intermediate key/value pair and a function of reducing that of intermediate key/value pairs then shuffled. merges all intermediate variables related which have the same Third, reducer function iterate through the values that are intermediate keys [11-169]. associated with that key and produce zero or more outputs. Initially proposed by Yahoo, Hadoop is open source platform for Fourth, output of mapreduce consists of key/value which distributed computing, storing data using distributed file system, associated with others. This output easier to deal with it. HDFS [2]. Fifth, using apriori algorithm to extract association rules. To find Mining of Association rule is finding rules in the databases which the frequent item sets from big databases using series of iterations satisfy some minimum of confidence and minimum of support for generating candidate item set. Compute the minimum support constraint [3]. Apriori algorithm finds the frequent itemsets from then prune candidate item sets. big databases using a series of iterations. The Apriori algorithm Finally, extract strong association rules using genetic algorithm. is generating candidate item sets, first compute the support, and Use crossover, mutation and selection functions to reproduce new then prune the candidate item sets to the frequent item sets in populations of rules then use fitness function to find evaluated each iteration [4]. optimal solution Genetic Algorithm: heuristic approach used for solving search based and optimization problems, using fitness function to evaluate solution and make iteration such as crossover, mutation and selection to find optimal solution [10]. The rest of this paper reviews big data, Hadoop, association rules, and genetic algorithms in Section 2, before proposing a combination of mapreduce with Apriori algorithm and genetic algorithm for groceries transactions in Section 3.

II. Previous work Apriori-Map/Reduce Algorithm and Represent its time complexity, which theoretically illustrate that the algorithm gains more performance than the sequential algorithms as the map function and reduce function nodes. The item sets can produce and compute Association Rule for market analysis basket [5]. Implement Apriori Algorithm which improved on MapReduce model on the Hadoop. The improved algorithm can deal with large data set with less cost [6].A recent paper gives the overview of algorithms designed for parallel mining for extracting all frequent item sets using hadoop [7]. Using association rule on dataset to extract rules then use genetic algorithm but results are complex [8]. Combination of a-priori query technique with a genetic algorithm to solve the association rule mining problem [9]. Combination of a-priori with a genetic algorithm (GA) to solve two classical NP-hard location problems [10]. www.ijarcst.com 15 © All Rights Reserved, IJARCST 2013 International Journal of Advanced Research in ISSN : 2347 - 8446 (Online) Computer Science & Technology (IJARCST 2019) Vol. 7, Issue 3 (July - Sept. 2019) ISSN : 2347 - 9817 (Print)

Fig 1: Combination of mapreduce with apriori algorithm and genetic algorithm

IV. Simulation Results itemFrequencyPlot(Groceries,topN=10,type=”absolute”) Implement proposed system on groceries data set. Groceries Data itemsets <-apriori(Groceries,parameter = list(minlen=1,maxl Set contains: a collection of receipts with each line representing one en=1,support=0.02,target=frequent itemsets)) receipt and the items purchased. Each line is called a transaction itemsets <- apriori(Groceries,parameter = list(minlen=1,maxl and each column in a row represents an item. Groceries dataset en=1,support=0.02,target=”frequent itemsets”)) encompasses 9835 transactions. inspect(head(sort(itemsets,by=”support”),10)) First: use mapreduce algorithm to manage large database itemsets <- apriori(Groceries,parameter = list(minlen=2,maxl operations such as capture, store, manipulate and others which en=2,support=0.02,target=”frequent itemsets”)) consist of two functions: map function to split data in to small inspect(head(sort(itemsets,by=”support”),10)) pieces input and map input key / value pairs not arranged. Then itemsets <- apriori(Groceries,parameter = list(minlen=3,maxl reduce function to arrange data with associated values which can en=3,support=0.02,target=”frequent itemsets”)) deal with groceries dataset easier. Represent groceries data set in inspect(head(sort(itemsets,by=”support”),10)) “groceries.csv” file. rules strong_rules <-sort(rules,by=”confidence”,decreasing=T) Table 1: sample of the input groceries dataset Citrus fruit,semi-finished bread,margarine,ready soups inspect(strong_rules) tropical fruit,yogurt,coffee whole milk To extract association rules in external file “r.txt” that contains output of apriori algorithm implementation by writing: pip fruit,yogurt,cream cheese ,meat spreads sink(“r.txt”) r=inspect(strong_rules) Second: implement apriori algorithm on groceries dataset using inspect(strong_rules) R_studio. Begin with installing libraries “arules”, data “Groceries” sink(“r.txt”) and packages of “arules” and “arulesViz”, then to display size and inspect(strong_rules) length of Groceries dataset by writing size (Groceries) and length (Groceries). Then write this code for using series of iterations for savehistory(“C:/Users/hp/Desktop/m.txt”) generating candidate item set to explore and find frequent item set which has threshold of confidence and support and extract strong association rules.

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Table 2 : sample of the output of r.txt file This output is extracted and pipelined to Genetic subsystem that LHS RHS Support conf Count is implemented in Python to make new generated rules. {rice, {whole 0.0012 1 12 Table 3: exemplar of the final output using genetic algorithm on sugar} milk} r.txt file {canned {whole 0.001118 1 11 {rice,other vegetables, yogurt,oil} fish, milk} =>{whole milk} hygiene {tropical fruit,root vegetables, sugar} articles} =>{whole milk} Third: use genetic algorithm on external file(r) which contain strong rules using anaconda python. In this system fitness is confidence, Final results will be measured their accuracy and compared with extract strong rules which have confidence at least 1. results on r.txt file (before and after using genetic algorithm).Total results after using genetic algorithm are 435 samples, 267 sample their accuracy is exactly 100% with r.txt, and 168 samples their accuracy less than our confidence.

V. Conclusion and Future work Groceries outlets ever produce massive data of transactions that deserve analysis for customer preferences. The paper has reviewed big data, Hadoop, association rules, and genetic algorithms. A new fusion algorithm for groceries transactions has been presented .such algorithm has combined mapreduce with Apriori and genetic algorithms to get the best association rules. Future directions may encompass the application of parallel implementation of Genetic and/ or in a distributed datasets of different stores.

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Hussein, Hazem M. El Bakry, Nadia I. Nife Elkheir “Enhancing Hybrid Asymmetric-Multicast Hash- “Modern Technologies for Designing and Developing Web- Routing for Information Centric Networks,” International Based Electronic Training Centers,” International Journal Journal of Artificial Intelligence and Mechatronics, vol. 7, of Artificial Intelligence and Mechatronics, vol. 4, issue 5, issue 2, September 2016, pp. 5-11. March 2016, pp. 181-187.

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[88] Abdalwhab A. Alkher, Hazem M. El Bakry, and Said M. 1, Jan.-March 2016, pp. 18-23. Fathalla, “ Securing Images Using Chaotic-based Image [100] Ibrahim M. El-Hasnony, Hazem M. El Bakry, and Encryption Cryptosystem,” International Journal of Ahmed A. Saleh, “Classification of Breast Cancer Using Electronics Communication and Computer Engineering, Softcomputing Techniques,” International Journal of vol. 7, issue 2, March 2016, pp. 114-116. Electronics and Information Engineering, vol. 4, No. 1, [89] Abduallah M. Hammouche, Hazem M. El Bakry, and Reham Jan. 2016, pp. 45-53. R. Mostafa, “Image Contrast Enhancement Using Fast [101] Mohammed Khaleel, Hazem M. El Bakry, and Ahmed Discrete Curvelet Transform Via Unequally Spaced Fast A. Saleh, “A New Efficient Files Retrieval System Fourier Transform (FDCT-USFFT),” International Journal Using Caching Search Engine,” International Journal of of Electronics Communication and Computer Engineering, Electronics and Information Engineering, vol. 4, No. 1, vol. 7, issue 2, March 2016, pp. 88-93. Jan. 2016, pp. 22-31. [90] Riyadh I. Louis, Ahmed I. Saleh, Mohammed F. AL [102] Sara Sweidan, Hazem El-Bakry, Shaker El-Sappagh, Sahar Rahmawy, Hazem M. El-Bakry, Samir M. Abd El-razek “ Sabah, Nikos Mastorakis, “Viral Hepatitis Diagnosis: A A Best Effort Heuristic Algorithm for Scheduling Timely Survey of Artificial Intelligent Techniques,” International Constrained Tasks in the Cloud,” International Journal of Journal of Biology and Biomedicine, vol. 1, Jan. 2016, Scientific & Engineering Research, vol. 7, issue 2, February pp. 106-115. 2016, pp. 390-400. [103] Bashar Hindawi, Hazem M. El Bakry, and Mervat Abu El- [91] Ahmad Mosa, Hazem. M. El Bakry, Samir M. Abd El-Razek, Kheir “Evaluating NoSQL Databases with Fuzzy Decision Sajjad Q. Hasan, Nikos Mastorakis, “An Efficient Approach Making,” International Journal of Harmonized Research for Improving Quality of E Governmental Services,” Internet in Engineering, vol. 3, No. 4, December 2015, pp. 162- of Things and Web Services, vol.1, 2016, pp.116-127. 171. [92] Riyadh Abdulamir, Reham Mostafa, and Hazem M. El [104] Fadiyya A. Mohsin, and Hazem M. El Bakry, “A Novel Bakry, “A Proposed Model for Authentication using Identity Approach for Speeding up Secured Litigation Procedures,” Detection,” International Journal of Artificial Intelligence International Journal of Scientific and Technical and Mechatronics, vol. 4, issue 5, January 2016, pp. 177- Advancements, vol. 1, issue 4, December 2015, pp. 37- 180. 43. [93] Ahmed A. Saleh, Hazem M. El Bakry, and Mohammed K. ‏[105] Ahmed Ismail, Mohammed Elmougy, and Hazem ElBakry Kolkas, “Design of Decision Support System for Loans “Landmines Detections using Low-cost Multi Sensory Based on Data Mining Techniques,” International Journal Mobile Robot,” Journal of Convergence Information of Electronics Communication and Computer Engineering, Technology, vol. 3, No. 4, November 2015, pp. 51-60. vol. 7, issue 1, January 2016, pp. 70-79. [106] Mohammed Khaleel, Hazem M. El Bakry, and Ahmed [94] Hamsa Emad, Hazem M. El Bakry, and Aziza Asem, “A A. Saleh, “A Comparative study between Proposed Modified Technology Acceptance Model for Health System and other Related Systems,” International Journal Informatics,” International Journal of Artificial Intelligence of Artificial Intelligence and Mechatronics, vol. 4, issue and Mechatronics, vol. 4, issue 4, January 2016, pp. 153- 3, November 2015, pp. 124-129 161. [107] Avein J. Al-Assady, Bahaa T. Shabana, and Hazem El [95] Thaer M. Taha, Hazem M. El-Bakry, Amal Ibrahim, Samir Bakry, “A Proposed Model for Human Securing using Abd-Elrazik, Magdi Z. Rashad “Fast sound verification GPS,” International Journal of Electronics Communication using support vector machine and particle swarm and Computer Engineering, vol. 6, issue 6, November optimization algorithms ,” International Journal of 2015, pp. 689-697. Advanced Research in Computer Science & Technology, [108] Safaa M. Kareem, Sameh Abd-elghany, and Hazem M. El vol. 4, issue 1, Jan.-March 2016, pp. 78-83. Bakry, “A New Fast 3D Reconstruction Approach using [96] Ahmed Mahdi Obaid, Hazem M. El Bakry, M.A. Eldosuky, MultipleView Images,” International Journal of Electronics A.I. Shehab, “Handwritten Text Recognition System based Communication and Computer Engineering, vol. 6, issue on Neural Network,” International Journal of Advanced 6, November 2015, pp. 683-688. Research in Computer Science & Technology, vol. 4, issue [109] Fadiyya A. Mohsin, Reham R. Mostafa, and Hazem M. 1, Jan.-March 2016, pp. 72-77. El Bakry, “Design of Information System for Facilitating [97] Firas F. Jawad, Bahaa T. Shabana, Hazem M. El-Bakry, Litigation Procedures,” International Journal of Computer “Reducing Waiting Time for Transportation using GIS,” Engineering and Information Technology, vol. 6, No. 1, International Journal of Advanced Research in Computer November 2015, pp. 107-112. Science & Technology, vol. 4, issue 1, Jan.-March 2016, [110] Nisreen M. Alrawi, Bahaa Shabana, Hazem M. El Bakry, and pp. 62-71. Ahmed A. Saleh, “A proposed Decision Support System for [98] Saad Adil AL-Ani, Sameh Abd El-Ghany, Hazem M. El- Managing Educational Human Resources Based on GIS,” Bakry, “A Collective Intelligence Based Multi Aspect International Journal of Advanced Research in Computer Sentiment Analysis for Arabic,” International Journal of Science & Technology, vol. 3, issue 4, October-December Advanced Research in Computer Science & Technology, 2015, pp. 54-59. vol. 4, issue 1, Jan.-March 2016, pp. 55-61. [111] Alaa Eissa, Hazem M. El Bakry, and Samir Ziad, “A Hybrid [99] Ali Hussein Khalaf, Hazem M. El Bakry, and Sahar fawzy Intrusion Detection System for WSN,” International Sabbeh, “University Courses Scheduling Using Cat Swarm Journal of Advanced Research in Computer Science & Optimization Algorithm,” International Journal of Advanced Technology, vol. 3, issue 4, October-December 2015, pp. Research in Computer Science & Technology, vol. 4, issue 10-15. www.ijarcst.com 21 © All Rights Reserved, IJARCST 2013 International Journal of Advanced Research in ISSN : 2347 - 8446 (Online) Computer Science & Technology (IJARCST 2019) Vol. 7, Issue 3 (July - Sept. 2019) ISSN : 2347 - 9817 (Print)

[112] Nama Al-Shumanny, Bahaa T. Shabaha, and Hazem “Online Social Learning Suggestion System Based On El Bakry, “A Proposed Decision Support System for Student Behavior,” International Journal of Information E-Services Based on GIS,” International Journal of Science and Intelligent System, vol. 4, No. 1, Jan. 2015, Electronics Communication and Computer Engineering, pp. 43-64. vol. 6, issue 5, September 2015, pp. 602-607. [125] Ahmed M. EL-Zehery, Hazem M. El-Bakry, Mohamed S. [113] Raffat Izzat, Bahaa T. Shabana, A. M. Riad and Hazem El-Ksasy, “Improving Passport System by using Data M. El Bakry, “Spatial Query Performance For GIS cloud,” Mining,” International Journal of Advance Foundation and International Journal of Information Engineering and Research in Computer, vol. 1, Issue 12, December 2014, Applications, vol. 5, number 8, August 2015, pp. 56-65. pp. 144-157. [114] Raid S. Sarhan, Bahaa T. Shabana and Hazem El Bakry, [126] Hazem M. El-Bakry, Nikos E. Mastorakis, Michael E. “Design of an Efficient Integrated System for Ambulance Fafalios, “Fast Information Retrieval from Big Data Management,” International Journal of Electronics by using Cross Correlation in the Frequency Domain,” Communication and Computer Engineering, vol. 6, issue International Journal of Neural Networks and Advanced 4, July 2015, pp. 509-515. Applications, Vol. 1, 2014, pp. 68-72. [115] Ibrahim M. El-Hasnony, Hazem El Bakry, and Ahmed [127] M. Yaqub, A. M. Raid and H. El-Bakry, “IMPROVING A. Saleh, “Comparative Study among Data Reduction E-LEARNING PERFORMANCE THROUGH SOCIAL Techniques over Classification Accuracy,” International COMMUNICATIONS,” International Journal of Intelligent Journal of Computer Applications, vol. 122, No. 2, July Computing and Information Science, Vol. 14, No.4, October 2015, pp. 8-15. 2014, pp. 73-85. [116] Samir Ziad, Hazem M. El Bakry, and Islam m. Abdelhady [128] Mohammed Khaleel, Hazem M. El Bakry, and Ahmed A. “A Proposed Framework for Ranking and Reservation of Saleh, “Developing E-learning Services Based on Cache Cloud Services Based on Quality of Service,” International Strategy and Cloud Computing,” International Journal Journal of Advanced Research in Computer Science & of Information Science and Intelligent System, vol. 3, No. Technology, vol. 3, issue 2, April-June 2015, pp. 195- 4, October 2014, pp. 45-52. 199 [129] Mohammed Yaqub, A. M. Raid, H. M. El-Bakry, Haitham A. [117] Ahmad Mosa, Hazem M. El Bakry, and Mervat Abuelkhir EL-Ghareeb “Online Social Learning Suggestion System “Cloud Computing in E-Government: A Survey,” Based On Student Behavior,” International Journal of International Journal of Advanced Research in Computer Advance Foundation and Research in Computer, vol. 1, Science & Technology, vol. 3, issue 2, April-June 2015, issue 10, October 2014, pp. 7-18. pp. 132-139. [130] Alaa Eissa, Hazem M. El Bakry, Mamoun H. Mamoun, [118] Abdelkareem M. Alashqar, Ahmad Abo Elfetouh, Hazem and Samir Zied, “Intrusion Detection In Wireless Sensor M. El Bakry, “ Evaluating User Interface Management Networks: A survey,” International Journal of Information Systems based on Quality Attributes and Unit Operations,” Science and Intelligent System, vol. 3, No. 4, October 2014, International Journal of Computer Applications, vol. 116, pp. 87-111. No. 9, April 2015, pp. 14-20. [131] Ebtsam Adel, Mohammed Elmogy, and Hazem El [119] Ahmad Ashraf, Hazem M. El Bakry, Samir M. Abd El-razek, Bakry, “Image Stitching based on Feature Extraction and Yehia El-Mashad “Handling big data in e-learning,” Techniques: A Survey,” International Journal of Computer International Journal of Advanced Research in Computer Applications, vol. 99, No. 6, August 2014, pp. 1-8. Science & Technology, vol. 3, issue 1, Jan.-March 2015, [132] Ahmed Ismail, Mohammed Elmogy, and Hazem M. El- pp. 47-51. Bakry, “Landmines Detection Using Autonomous Robots: [120] Abdelkareem M. Alashqar, Ahmad Abo Elfetouh, Hazem A Survey,” International Journal of Emerging Trends & M. El Bakry, “Requirement Engineering for Non-Functional Technology in Computer Science (IJETTCS), vol. 3, No. Requirements,” International Journal of Information and 4, July-August 2014, pp. 183-187. Communication Technology Research, vol. 5, No. 2, Feb. [133] Mohammed Yaqub, A. M. Raid, and H. M. El-Bakry, 2015, pp. 21-27. “Open Social Learning Network,” International Journal [121] Abdelkareem M. Alashqar, Ahmad Abo Elfetouh, Hazem of Computer Engineering and Intelligent Systems, vol. 5, M. El Bakry, “ISO9126 Based Software Quality Evaluation No. 7, July 2014, pp. 1-12. Using Choquet Integral,” International Journal of Software [134] Mohammed K. Kolkas, Hazem M. El-Bakry, and Ahmed Engineering & Applications (IJSEA), vol. 6, No. 1, Jan. Abou El Fetooh, “Integrated Data Mining Techniques 2015, pp. 111-121. in Enterprise Resource Planning (ERP) Systems,” [122] R. M. Elawady, S. Barakat, H. M. El-Bakry, and N. M. International Journal of Information Science and Intelligent Elrashidy, “ SENTIMENT ANALYSIS FOR ARABIC System, vol. 3, No. 2, April 2014, pp. 131-152. AND ENGLISH DATASETS,” International Journal of [135] Hazem M. El-Bakry, Ali E. Taki_El_deen, and Ahmed Intelligent Computing and Information Science, Vol. 15, Hussein Ali El tangy, “ Implementation of a Hybrid No.1, Jan. 2015, pp. 55-69. Encryption Scheme for SMS / Multimedia Messages on [123] Mohammed Alkhawlani, Mohammed Elmogy, and Hazem Android,” International Journal of Computer Applications, M. El Bakry, “ Text-based, Content-based, and Semantic- vol. 85, No. 2, January 2014, pp. 1-5. based Image Retrievals: A Survey,” International Journal [136] Mosad Abdelwahab, Abd El-hamid, H. El-bakry, M. A. of Information Technology, Vol. 4, No.1, Jan. 2015, pp. El-dosuky, “3D Face Identification,” International Journal 58-66. of Information Science and Intelligent System, vol. 3, No. [124] Mohammed Yaqub, A. M. Raid, and Hazem M. El Bakry, 1, January 2014, pp. 121-136.

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[137] Hazem M. El-Bakry, Ali E. Taki_El_deen, and Ahmed [149] Hazem M. El-Bakry, Ahmed A. Saleh and, Taghreed T. Hussein Ali El tangy, “A New Mobile Application for Asfour, “A Novel Adaptive E-Learning Model Based on Encrypting SMS/Multimedia Messages on Android,” Developed Learner’s Styles,” World Academy of Science, International Journal of Scientific & Engineering Research, Engineering and Technology, vol. 60, 2011, pp. 1946- Vol. 4, Issue 11, December 2013, pp. 300-304. 1953. [138] Hesham Ahmed Hassan, Hazem El-Bakry, and Hamada [150] Hazem M. El-Bakry, “Integrating Fast Karnough Map Gaber Abd Allah, “Design of Multi-Criteria Spatial Decision and Modular Neural Networks for Simplification and Support System for Improving Animal Production,” IAES Realization of Complex Boolean Functions,” International International Journal of Artificial Intelligence, vol. 2, issue Journal of Engineering and Applied Sciences, vol. 7, no. 3, September 2013, pp. 117-124. 4, 2011, pp. 217-226. [139] Islam S. Bedier, Hazem M. El-Bakry, and Hesham A. Arafat [151] A. A. Radwan, H. M. El-Bakry and H. M. El-hadaad, “A “A New Model for E-commerce Security,” International New Expert System For Pediatric Respiratory Diseases By Journal of Knowledge Engineering and Research, vol. 2, Using Neural Network,” International Journal of Computer No. 6, June 2013, pp. 217-231. Science and Information Security, vol. 9, no. 8, August, [140] Abdelghafar M. Elhady, Ahmed Abou Elfetouh S., 2011, pp. 11-17. Hazem M. El-bakry, and A. E. Hassan, “ Generic Software [152] A. M. Riad, Hazem M. El-Bakry, and Gamal H. El-Adl, Risk Management Framework for SCADA System,” “E-government Frameworks Survey,” International Journal International Journal of Computer Applications, vol. 70, of Computer Science Issues, vol. 8, issue 3, May 2011, pp. No. 3, May 2014, pp. 45-52. 319-323. [141] Mamoon H. Momoon, Hazem M. El-Bakry, and Amany [153] A. M. Riad, H. K. Elminir, H. M. El-bakry and H. A. El- A. Salama “Interactive Visualization of Retrieved Ghareeb, “ Supporting Online Lectures with Adaptive and Information,” International Journal of Knowledge intelligent Features”, International Journal of Research and Engineering and Research, vol. 2, No. 4, April 2013, pp. Innovation, Advances in Information Sciences and Service 217-231. Sciences (AISS), Vol.3 , No.1, 2011, pp. 47-53. [142] Mamoon H. Momoon, Hazem M. El-Bakry, and Amany A. [154] A. M. Riad, Hazem M. El-Bakry, and Gamal H. El-Adl, “A Salama “Visualization for Information Retrieval based on Novel DSS Framework for E-government,” International Fast Search Technology,” Indonesian Journal of Electrical Journal of Computer Science Issues, vol. 7, no. 6, November Engineering and Informatics, vol. 1, No. 1, March 2013, 2010, pp. 33-37. pp. 27-42. [155] Hazem M. El-Bakry, and Mohamed Hamada, “A Developed [143] Ahmed A. Saleh and Hazem M. El-Bakry, “Design and Watermark Technique for Distributed Database,” Springer, Modeling of Professional Training Centers,” International (CISIS’10), Lecture Notes in Artificial Intelligence and Journal of Knowledge Engineering and Research, vol. 2, Computer Science, AICS 85, 2010, pp. 173-180. No. 1, Jan. 2013, pp. 164-177. [156] Hazem M. El-Bakry, “Integrating Fast Karnough Map [144] N. S. Abu El-Ala, W. A. Awad and H. M. El-Bakry, “ and Modular Neural Networks for Simplification and Cloud Computing for Solving E-Learning Problems,” Realization of Complex Boolean Functions,” The World International Journal of Advanced Computer Science and Academy of Science, Engineering and Technology Applications, vol. 3, No. 12, December 2012, pp. 135- (WASET), International Journal of Computer and 137. Information Engineering, vol. 4, no. 3, 2010, pp. 356- [145] Hazem El-Bakry, and Mohamed Hamada, “Adaptive 370. E-Learning for Data Encoding and Computer Networks [157] Hazem M. El-Bakry, and Mohamed Hamada, “A Novel based on Learner’s Styles,” International Journal of Watermark Technique for Relational Databases,” Springer, Computer Networks and Security, vol. 22, issue 12, (AICI 2010), Lecture Notes in Computer Science 6320 December 2012, pp. 333-342. Springer 2010, pp. 226-232. [146] Hesham Ahmed Hassan, Hazem El-Bakry, and Hamada [158] Hazem M. El-Bakry and Nikos Mastorakis, “Fast Gaber Abd Allah, “A New Multi-Criteria Spatial Decision Forecasting of Stock Market Prices by using New High Support System for Improving Animal Production,” Speed Time Delay Neural Networks,” International Journal International Journal of Computational Linguistics and of Computer and Information Engineering, vol. 4, no. 2, Natural Language Processing, vol. 1, issue 12, December 2010, pp. 138-144. 2012, pp. 186-191. [159] M. Z. Rashad, Hazem M. El-Bakry, and Islam R. Isma’il, [147] Hala Abdel Hameed, Hazem M. El-Bakry, and Torky Sultan, “Diphone Speech Synthesis System for Arabic Using “An Efficient Simulator for Replication in Distributed MARY TTS,” International Journal of Computer Science Real-time Database Systems,” International Journal and Information Technology, vol. 2, no. 4, 2010, pp. 18- of Computational Linguistics and Natural Language 26. Processing, vol. 1, issue 4, November 2012, pp. 123- [160] Ahmed A. Saleh, Hazem M. El-Bakry, and Taghreed 131. T. Asfour, “Design of Adaptive E-Learning for Logic [148] Hala Abdel hameed, Hazem M. El-Bakry and Torky Sultan, Operations,” International Journal of Education and “Design of Efficient Dynamic Replica Control Algorithm Information Technologies, vol. 4, issue 2, 2010, pp. 49- for Periodic/Aperiodic Transactions in Distributed Real- 56. Time Databases,” International Journal of Computer [161] Hazem M. El-Bakry, and Ahmed Atwan, “Fast Business Science Issues, vol. 9, issue 1, no.2, Jan. 2012, pp. 72- Networks for Real-Time Applications,” International 80. Journal of Universal Computer Sciences, vol. 1, issue 1, www.ijarcst.com 23 © All Rights Reserved, IJARCST 2013 International Journal of Advanced Research in ISSN : 2347 - 8446 (Online) Computer Science & Technology (IJARCST 2019) Vol. 7, Issue 3 (July - Sept. 2019) ISSN : 2347 - 9817 (Print)

2010, pp. 41-50. [161] Hazem M. El-Bakry, and Ahmed Atwan, “Simplification and Implementation of Boolean Functions,” International Journal of Universal Computer Sciences, vol. 1, issue 1, 2010, pp. 19-33. [162] Hala Abdel hameed, Hazem M. El-Bakry and Torky Sultan, “A General Framework for Modeling Replicated Real- Time Database,” International Journal of Electrical and Computer Engineering, vol. 4, no. 8, 2009, pp. 505-511. [163] Hazem M. El-Bakry, and Mohamed Hamada “Fast Time Delay Neural Networks for Detecting DNA Coding Regions,” Springer, Lecture Notes on Artificial Intelligence (LNAI 5711), 2009, pp. 334-342. [164] Alaa M. Riad, Ahmed Atwan, Hazem M. El-Bakry, Sameh Abd El-Ghany and Nikos Mastorakis, “An Intelligent Distributed Algorithm for Efficient Web Image Retrieval,” International Journal of Communications, vol. 3, issue 3, 2009, pp. 63-76. [165] Hazem M. El-Bakry, and Ahmed Atwan, “ Improving Quality of Business Networks for Information Systems,” The International Journal of Computer, Information, and systems science, and Engineering, issue 3, vol. 3, July 2009, pp. 138-150. [166] Hazem M. El-Bakry, and Nikos Mastorakis, “Fast Word Detection in a Speech Using New High Speed Time Delay Neural Networks,” WSEAS Transactions on Information Science and Applications, vol. 5, issue 7, July 2009, pp. 261-270. [167] A. M. Riad, Hazem M. El-Bakry, and Haitham El-Ghareeb, “Mapping Different Software Architecture Paradigms to Different Integration Techniques: Highlighting Driving and Restraining Forces for Each Paradigm,” Journal of Convergence Information Technology, vol. 4, no. 2, June 2009, 22 pages. [168] Hazem M. El-Bakry, and Nikos Mastorakis, “Fast Information Retrieval from Web Pages,” WSEAS Transactions on Information Science and Applications, vol. 6, issue 6, June 2009, pp. 1018-1036. [169] Hazem M. El-Bakry, and Nikos Mastorakis, “Fast Image Matching on Web Pages,” WSEAS Transactions on Signal Processing, vol. 5, issue 4, June 2009, pp. 157-166.