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A Novel Intelligent Recommendation Algorithm based on Web Data Mining Technique under the Background of Deep Neural Network

Changchun Yang, Jun Wang, Min Yuan, Chenyang Lei
2016 International Journal of Security and Its Applications  
Therefore, to enhance the traditional method, we propose a novel intelligent recommendation algorithm based on Web data mining technique under the background of the deep neural network.  ...  Firstly, we review the state-of-the-art web data mining algorithms and revise the traditional ones with the parallel data mining algorithm on the multiple processors to perform tasks that will enhance  ...  In this paper to enhance overall performance of the traditional recommendation system, we conduct research on the novel intelligent recommendation algorithm based on the Web data mining technique under  ... 
doi:10.14257/ijsia.2016.10.2.37 fatcat:m6nmaxlwdzezzn7qyu33wuovey

Enhanced Swarm based Optimized Recommendation System

Shivani Sharma
2016 International Journal of Computer Applications  
This architecture uses more than one data mining algorithms like clustering and pattern matching algorithms.  ...  To enhance this work, an optimization algorithm will be used. Here Particle Swarm optimization algorithm has been used which is a soft computing algorithm of Artificial Intelligence.  ...  This architecture uses more than one data mining algorithms like clustering and pattern matching algorithms.  ... 
doi:10.5120/ijca2016911720 fatcat:2sptkvbstzfkvlppd46eyaftxq

Web mining: research and practice

P. Kolari, A. Joshi
2004 Computing in science & engineering (Print)  
He is also interested in the Semantic Web and data and Web mining.  ...  His research interests are in the broad area of networked computing and intelligent systems, with a primary focus on data management for mobile computing systems, and most recently on data management and  ...  Data modeling of a complete Web site with an explicit ontology can enhance usage-mining analysis through enhanced queries and more meaningful visualizations.  ... 
doi:10.1109/mcse.2004.23 fatcat:y6a6f4gvfjesfciuajlpfododu

APIUaaS: A Reference Architecture for Facilitating API Usage from a Data Analytics Perspective

2019 IET Software  
During the recommendation phase, API usages mining, clustering and ranking algorithms are enabled in the knowledge discover & intelligent model layer.  ...  To reduce such efforts, there has been growing interest in developing source code mining and recommendation systems.  ...  Programmers expect high recommending performance. • Efficient API usage mining algorithm: There is a wide variety of mechanisms and mining algorithms, which can be used to develop a recommendation system  ... 
doi:10.1049/iet-sen.2018.5355 fatcat:ld6yzef3jrgdnfkz3sfd7q47nu

Optimized Ranking Based Recommender System for Various Application Based Fields

Sandhya Verma, Amit Kumar Manjhvar
2016 International Journal of Database Theory and Application  
standard mining To find the relation between the data item, we are using the association rule mining, which is an important field of data mining.  ...  Multiple researchers done the different type of works on the WCM and WUM to enhance the competence of the website by providing innovative methods and and this paper gives a review about the current works  ...  Introduction Data mining announces to obtain or "mining" knowledge from data in the vast amount. DM can be characterized as the mining of useful patterns from a type of data.  ... 
doi:10.14257/ijdta.2016.9.2.15 fatcat:emdqw6pyvzdzflwdqdtnnjvlva

Technical Approach in Text Mining for Stock Market Prediction: A Systematic Review

Mohammad Rabiul Islam, Imad Fakhri Al-Shaikhli, Rizal Bin Mohd Nor, Vijayakumar Varadarajan
2018 Indonesian Journal of Electrical Engineering and Computer Science  
To find the meaningful information from the vast amount of electronic textual data become a humongous task for trading decision.  ...  Text mining methods and techniques have disclosed the mining task throughout information retrieval discipline in the field of soft computing techniques.  ...  Genetic Algorithm runs into a single financial predictor for better performance [46] .  ... 
doi:10.11591/ijeecs.v10.i2.pp770-777 fatcat:n5hf2opjczdfneo5lnhtg6eske

A Book Recommendation System for Cloud Computing: A Survey

Dharna Patel, Jitendra Dangra
2017 International Journal of Computer Applications  
Data mining is the approach to extract knowledge from raw data facts. Cloud computing is the emerging technique used to share resources and information among nodes.  ...  It also investigates the existing solutions and scope of improvement to enhance the performance.  ...  A brief review of types of cloud is cited below. DATA MINING Data mining is sorting through data to identify patterns and establish relationships.  ... 
doi:10.5120/ijca2017914263 fatcat:5o6mmz5e4bbmdazym2ebzr65xy

Web Personalization Based on Enhanced Web Access Pattern using Sequential Pattern Mining

Kuldeep Singh Rathore
2016 International Journal Of Engineering And Computer Science  
In this paper, we tend to propose a recommendation approach that recommends a listing of pages based mostly upon client's historic pattern (recorded within the web log).  ...  Recommendation is an application of WUM. Consequently, recommendation system can be utilized to forecast the navigation pattern of client and recommend those to client in a recommendation list form.  ...  Web Mining The term Web Data Mining is a method used to the crawl by numerous web resources to collect required knowledge, which enables an individual or a enterprise to promote their business, gone through  ... 
doi:10.18535/ijecs/v5i7.08 fatcat:jawp4ndgcfcqlakupicmzwtahe

Recommendation Using Analysis of Semantic Social Network in Social Network Services

Sangun Park, Juyoung Kang
2016 ICIC Express Letters  
This paper suggests a semantic social network that represents the various relationships between customers and products through a semantic graph, and a method that generates recommendation rules through  ...  One of the current research trends of recommendation is the use of various relationships amongst customers in order to increase the possibility of enhanced recommendation.  ...  The framework comprises building a semantic social network, generating neighbor identification rules through network mining, and executing recommendations according to the established rules.  ... 
doi:10.24507/icicel.10.03.547 fatcat:uljdv5x2bndudnpypexzpnhnzm

SEWeP: A Web Mining System Supporting Semantic Personalization [chapter]

Stratos Paulakis, Charalampos Lampos, Magdalini Eirinaki, Michalis Vazirgiannis
2004 Lecture Notes in Computer Science  
We present SEWeP, a Web Personalization prototype system that integrates usage data with content semantics, expressed in taxonomy terms, in order to produce a broader yet semantically focused set of recommendations  ...  It utilizes Web content/structure mining methods to assign semantics to Web pages and subsequently feeds this knowledge to Web usage mining algorithms.  ...  (Figure 2 includes a screenshot of this module) Semantic Association Rules Mining: SEWeP provides a version of the apriori algorithm [1] for extracting frequent itemsets and/or association rules (confidence  ... 
doi:10.1007/978-3-540-30116-5_63 fatcat:bz2cjmsqtjd4dbfr4bwo5ialty


Longbing Cao, Chengqi Zhang
2007 Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems - AAMAS '07  
For instance, data mining can enhance agent learning, while agent can benefit data mining with distributed pattern discovery.  ...  We demonstrate the roles of agents in building up the F-Trade, as well as how agents can support data mining. On the other hand, data mining is used to strengthen agents.  ...  It also offers data mining capability for the optimization and recommendation of trading rules and mining algorithms, and agent intelligence enhancement.  ... 
doi:10.1145/1329125.1329443 dblp:conf/atal/CaoZ07 fatcat:ydeacu3uffbthfa7p663jpsznm

Recommendation-Aware Smartphone Sensing System

Mu-Yen Chen, Ming-Ni Wu, Chia-Chen Chen, Young-Long Chen, Hsien-En Lin
2014 Journal of Applied Research and Technology  
Second, the Apriori recommendation module (ARM) provides effective recommended product information for users through association rules mining.  ...  The appropriate product information can be received effectiveness and greatly enhanced the recommendation service.  ...  After that, Fayyad et al. (1996) also discussed data mining is one step of the knowledge discovery process; to obtain special patterns from a large amount of data through data analysis algorithms [11  ... 
doi:10.1016/s1665-6423(14)71664-5 fatcat:co4s7nqoljhyzbez3x46hdghtu

Prediction of User Future Request Utilizing the Combination of Both ANN and FCM in Web Page Recommendation

V. Raju, N. Srinivasan
2018 Journal of Intelligent Systems  
In the proposed web page recommendation system, potential and non-potential data can be categorized by use of the Levenberg–Marquardt firefly neural network algorithm, and forecast can be made by using  ...  The third phase of the projected process is collecting potential data with the aid of the improved fuzzy C-means clustering algorithm.  ...  Introduction In the data mining procedure, web mining is a process that is used to remove and determine knowledge from data obtainable on the web in the form of web documents, images, audios, videos, etc  ... 
doi:10.1515/jisys-2017-0310 fatcat:dmqlcbjx6jg5ng3r4pxllpcdvu

A Novel Approach towards Integration of Semantic Web Mining with Link Analysis to Improve the Effectiveness of the Personalized Web

Chanchala Joshi, Umesh Kumar
2015 International Journal of Computer Applications  
In the second part of proposed method, this paper presents a novel approach for enhancing the quality of recommendations based on the underlying structure of a web site.  ...  This paper presents a personalization framework CUMPW (Content & Web Usage Mining for Personalized Web) that integrates web content and web usage data with the user's navigational patterns and represents  ...  Web Usage Mining In a website user mainly navigate through website's content, which means user's navigation is typically content-driven.  ... 
doi:10.5120/ijca2015906660 fatcat:kcaokcegrrhfnf47yuy3er2qbi

A Text Extraction-Based Smart Knowledge Graph Composition for Integrating Lessons Learned During the Microchip Design [chapter]

Hasan Abu Rasheed, Christian Weber, Johannes Zenkert, Peter Czerner, Roland Krumm, Madjid Fathi
2020 Advances in Intelligent Systems and Computing  
Graph search functionality is then supported with a recommendation use-case to enhance users' access to information that is related to the initial documents.  ...  Text mining methods are firstly utilized to extract data from multiple documentation sources. Document relations are then mined and extracted for the composition of the knowledge graph.  ...  Data visibility, to the users, can be handled through searching, hints or recommendations, among other methods.  ... 
doi:10.1007/978-3-030-55187-2_43 fatcat:yechlso4ozcrtlyawdugqtu5pq
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