Composite analysis of web pages in adaptive environment through Modified Salp Swarm algorithm to rank the web pages

2021 ◽  
Author(s):  
E. Manohar ◽  
E. Anandha Banu ◽  
D. Shalini Punithavathani
Keyword(s):  
Web Pages ◽  
Composite Analysis ◽  
Salp Swarm Algorithm ◽  
Adaptive Environment ◽  
Swarm Algorithm ◽  
The Web

A FRAME WORK FOR WEB INFORMATION EXTRACTION AND ANALYSIS

2013 ◽  
Vol 7 (2) ◽  
pp. 574-579 ◽  
Author(s):  
Dr Sunitha Abburu ◽  
G. Suresh Babu
Keyword(s):  
Information Extraction ◽  
Data Extraction ◽  
Research Work ◽  
Web Pages ◽  
Web Documents ◽  
E Learning ◽  
Structured Information ◽  
Frame Work ◽  
Effective Decision ◽  
The Web

Day by day the volume of information availability in the web is growing significantly. There are several data structures for information available in the web such as structured, semi-structured and unstructured. Majority of information in the web is presented in web pages. The information presented in web pages is semi-structured.  But the information required for a context are scattered in different web documents. It is difficult to analyze the large volumes of semi-structured information presented in the web pages and to make decisions based on the analysis. The current research work proposed a frame work for a system that extracts information from various sources and prepares reports based on the knowledge built from the analysis. This simplifies  data extraction, data consolidation, data analysis and decision making based on the information presented in the web pages.The proposed frame work integrates web crawling, information extraction and data mining technologies for better information analysis that helps in effective decision making.   It enables people and organizations to extract information from various sourses of web and to make an effective analysis on the extracted data for effective decision making.  The proposed frame work is applicable for any application domain. Manufacturing,sales,tourisum,e-learning are various application to menction few.The frame work is implemetnted and tested for the effectiveness of the proposed system and the results are promising.

Governance Disclosure on the Internet by Leading Indian Public Sector Companies

Think India ◽  
2019 ◽  
Vol 22 (2) ◽  
pp. 174-187
Author(s):  
Harmandeep Singh ◽  
Arwinder Singh
Keyword(s):  
Public Sector ◽  
Financial Information ◽  
Three Dimensions ◽  
The Internet ◽  
Web Pages ◽  
Non Profit ◽  
Index Approach ◽  
Significant Difference ◽  
Governance Disclosure ◽  
The Web

Nowadays, internet satisfying people with different services related to different fields. The profit, as well as non-profit organization, uses the internet for various business purposes. One of the major is communicated various financial as well as non-financial information on their respective websites. This study is conducted on the top 30 BSE listed public sector companies, to measure the extent of governance disclosure (non-financial information) on their web pages. The disclosure index approach to examine the extent of governance disclosure on the internet was used. The governance index was constructed and broadly categorized into three dimensions, i.e., organization and structure, strategy & Planning and accountability, compliance, philosophy & risk management. The empirical evidence of the study reveals that all the Indian public sector companies have a website, and on average, 67% of companies disclosed some kind of governance information directly on their websites. Further, we found extreme variations in the web disclosure between the three categories, i.e., The Maharatans, The Navratans, and Miniratans. However, the result of Kruskal-Wallis indicates that there is no such significant difference between the three categories. The study provides valuable insights into the Indian economy. It explored that Indian public sector companies use the internet for governance disclosure to some extent, but lacks symmetry in the disclosure. It is because there is no such regulation for web disclosure. Thus, the recommendation of the study highlighted that there must be such a regulated framework for the web disclosure so that stakeholders ensure the transparency and reliability of the information.

Salp swarm algorithm with crossover scheme and Lévy flight for global optimization

2021 ◽  
pp. 1-12
Author(s):  
Heming Jia ◽  
Chunbo Lang
Keyword(s):  
Global Optimization ◽  
Heuristic Algorithm ◽  
Experimental Results ◽  
High Dimensional ◽  
Lévy Flight ◽  
Test Functions ◽  
Levy Flight ◽  
Salp Swarm Algorithm ◽  
Swarm Algorithm ◽  
Accuracy And Stability

Salp swarm algorithm (SSA) is a meta-heuristic algorithm proposed in recent years, which shows certain advantages in solving some optimization tasks. However, with the increasing difficulty of solving the problem (e.g. multi-modal, high-dimensional), the convergence accuracy and stability of SSA algorithm decrease. In order to overcome the drawbacks, salp swarm algorithm with crossover scheme and Lévy flight (SSACL) is proposed. The crossover scheme and Lévy flight strategy are used to improve the movement patterns of salp leader and followers, respectively. Experiments have been conducted on various test functions, including unimodal, multimodal, and composite functions. The experimental results indicate that the proposed SSACL algorithm outperforms other advanced algorithms in terms of precision, stability, and efficiency. Furthermore, the Wilcoxon’s rank sum test illustrates the advantages of proposed method in a statistical and meaningful way.

scholarly journals bSSA: Binary Salp Swarm Algorithm with Hybrid Data Transformation for Feature Selection

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Sayar Singh Shekhawat ◽  
Harish Sharma ◽  
Sandeep Kumar ◽  
Anand Nayyar ◽  
Basit Qureshi
Keyword(s):  
Feature Selection ◽  
Data Transformation ◽  
Salp Swarm Algorithm ◽  
Hybrid Data ◽  
Swarm Algorithm

An improved version of salp swarm algorithm for solving optimal power flow problem

2021 ◽  
Author(s):  
Salma Abd el-sattar ◽  
Salah Kamel ◽  
Mohamed Ebeed ◽  
Francisco Jurado
Keyword(s):  
Power Flow ◽  
Optimal Power Flow ◽  
Flow Problem ◽  
Salp Swarm Algorithm ◽  
Optimal Power ◽  
Swarm Algorithm ◽  
Power Flow Problem

A Method of Opinion Tendency Analyzing Based on Regular Expression

2013 ◽  
Vol 347-350 ◽  
pp. 2758-2762
Author(s):  
Zhi Juan Wang
Keyword(s):  
Regular Expression ◽  
Negative Information ◽  
Web Pages ◽  
Social Stability ◽  
National Unity ◽  
Internet Information ◽  
Information Bank ◽  
The Web

Negative Internet information is harmful for social stability and national unity. Opinion tendency analyzing can find the negative Internet information. Here, a method based on regular expression is introduces that neednt complex technologies about semantics. This method includes: building negative information bank, designing regular expression and the realization of program. The result gotten from this method verified it works perfect on judging the opinion of the web pages.

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