Framework for analysis and improvement of data-fusion algorithms

Nassar, Mohammad Othman; Kanaan, Ghassan; Awad, Hussain

doi:10.1109/icime.2010.5478019

Cited by 2 publications

(4 citation statements)

References 14 publications

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“…Because a term that appears ten times in a document may not necessarily be 10 times as relevant as a term that appears only once in the same document, Logarithmic Term Frequency (LTF) is introduced as a local weight to adjust within-document frequency. The following equation can be employed to calculate LTF (Wu and Gu, 2014;Nassar, Kanaan and Awad, 2010):…”

Section: B Term Weighting Schemesmentioning

confidence: 99%

“…Terms that occur frequently are assigned a significant weight, which is proportional to the number of documents they appear in. The GFIDF equation can be calculated as follows (Wu and Gu, 2014;Nassar, Kanaan and Awad, 2010):…”

Section: B Term Weighting Schemesmentioning

confidence: 99%

“…Longer documents receive reduced individual term weights, which favors retrieval for shorter documents over longer ones. The CN equation can be calculated as follows (Wu and Gu, 2014;Nassar, Kanaan and Awad, 2010):…”

Section: B Term Weighting Schemesmentioning

confidence: 99%

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Web Page Ranking Based on Text Content and Link Information Using Data Mining Techniques

Naamha,

Abdulmunim

2024

ARO

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Thanks to the rapid expansion of the Internet, anyone can now access a vast array of information online. However, as the volume of web content continues to grow exponentially, search engines face challenges in delivering relevant results. Early search engines primarily relied on the words or phrases found within web pages to index and rank them. While this approach had its merits, it often resulted in irrelevant or inaccurate results. To address this issue, more advanced search engines began incorporating the hyperlink structures of web pages to help determine their relevance. While this method improved retrieval accuracy to some extent, it still had limitations, as it did not consider the actual content of web pages. The objective of the work is to enhance Web Information Retrieval methods by leveraging three key components: text content analysis, link analysis, and log file analysis. By integrating insights from these multiple data sources, the goal is to achieve a more accurate and effective ranking of relevant web pages in the retrieved document set, ultimately enhancing the user experience and delivering more precise search results the proposed system was tested with both multi-word and single-word queries, and the results were evaluated using metrics such as relative recall, precision, and F-measure. When compared to Google’s PageRank algorithm, the proposed system demonstrated superior performance, achieving an 81% mean average precision, 56% average relative recall, and a 66% F-measure.

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Section: B Term Weighting Schemesmentioning

confidence: 99%

Section: B Term Weighting Schemesmentioning

confidence: 99%

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Web Page Ranking Based on Text Content and Link Information Using Data Mining Techniques

Naamha,

Abdulmunim

2024

ARO

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“…In this group, the following three models are included: Oriented To Object (OTO) model [30], the Object-Centered Information Fusion Model (OCIFM) [60], and the Frankel-Bedworth (FBedw) model [22]. It should be noted that there are other models, such as the Nassar's model [74] and the Mitchell's model [54], that although not discussed in this work are also used as references in specific applications. Figure 2 illustrates the use of the data fusion models presented above in Figure 1 from 1975 to 2021 based on the number of Scopus publications on each model.…”

Section: Data Fusion Modelsmentioning

confidence: 99%

Information Quality Assessment for Data Fusion Systems

Becerra

Tobón

Castro-Ospina

et al. 2021

Data

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This paper provides a comprehensive description of the current literature on data fusion, with an emphasis on Information Quality (IQ) and performance evaluation. This literature review highlights recent studies that reveal existing gaps, the need to find a synergy between data fusion and IQ, several research issues, and the challenges and pitfalls in this field. First, the main models, frameworks, architectures, algorithms, solutions, problems, and requirements are analyzed. Second, a general data fusion engineering process is presented to show how complex it is to design a framework for a specific application. Third, an IQ approach, as well as the different methodologies and frameworks used to assess IQ in information systems are addressed; in addition, data fusion systems are presented along with their related criteria. Furthermore, information on the context in data fusion systems and its IQ assessment are discussed. Subsequently, the issue of data fusion systems’ performance is reviewed. Finally, some key aspects and concluding remarks are outlined, and some future lines of work are gathered.

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Framework for analysis and improvement of data-fusion algorithms

Cited by 2 publications

References 14 publications

Web Page Ranking Based on Text Content and Link Information Using Data Mining Techniques

Web Page Ranking Based on Text Content and Link Information Using Data Mining Techniques

Information Quality Assessment for Data Fusion Systems

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