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Results: 34
Collaboration Network Analysis Based on Normalized Citation Count and Eigenvector Centrality
In the research community, the estimation of the scholarly impact of an individual is based on either citation-based indicators or network centrality measures. The network-based centrality measures like degree, closeness...
Published by: IGI Global
Parallel and Distributed Pattern Mining
The treatment of large data is difficult and it looks like the arrival of the framework MapReduce is a solution of this problem. This framework can be used to analyze and process vast amounts of data. This happens by...
Published by: IGI Global
Association Rule Mining Based on Hybrid Whale Optimization Algorithm
Na Deng, Zhiwei Ye, Wenhui Cai, Mingwei Wang, Aixin Zhang, Wen Zhou, Zimei Wei, Daxin Zhu
Jan 01, 2022
Association Rule Mining(ARM) is one of the most significant and active research areas in data mining. Recently, Whale Optimization Algorithm (WOA) has been successfully applied in the field of data mining, however, it easily...
Published by: IGI Global
Distinguishing Personality Recognition and Quantification of Emotional Features Based on Users' Information Behavior in Social Media
The purpose of this paper is to explore the emotional composition, psychological characteristics, and the consistency between information behavior and attitude of social media users, and to provide reference for online public...
Published by: IGI Global
Boat Detection in Marina Using Time-Delay Analysis and Deep Learning
Romane Scherrer, Erwan Aulnette, Thomas Quiniou, Joël Kasarherou, Pierre Kolb, Nazha Selmaoui-Folcher
Apr 01, 2022
An autonomous acoustic system based on two bottom-moored hydrophones, a two-input audio board and a small single-board computer was installed at the entrance of a marina to detect entering/exiting boat. Windowed time lagged...
Published by: IGI Global
A New Bi-Level Encoding and Decoding Scheme for Pixel Expansion Based Visual Cryptography
Mapping of image-based object textures to ASCII characters can be a new modification towards visual cryptography. Naor and Shamir proposed a new dimension of Information security as visual cryptography which is a secret sharing...
Published by: IGI Global
Recognition of Odia Handwritten Digits using Gradient based Feature Extraction Method and Clonal Selection Algorithm
This article aims to recognize Odia handwritten digits using gradient-based feature extraction techniques and Clonal Selection Algorithm-based (CSA) multilayer artificial neural network (MANN) classifier. For the extraction of...
Published by: IGI Global
Improvement of Data Stream Decision Trees
The classification of data streams has become a significant and active research area. The principal characteristics of data streams are a large amount of arrival data, the high speed and rate of its arrival, and the change of...
Published by: IGI Global
A New Approach for Fairness Increment of Consensus-Driven Group Recommender Systems Based on Choquet Integral
It has been witnessed in recent years for the rising of Group recommender systems (GRSs) in most e-commerce and tourism applications like Booking.com, Traveloka.com, Amazon, etc. One of the most concerned problems in GRSs is to...
Published by: IGI Global
Hierarchical Hybrid Neural Networks With Multi-Head Attention for Document Classification
Document classification is a research topic aiming to predict the overall text sentiment polarity with the advent of deep neural networks. Various deep learning algorithms have been employed in the current studies to improve...
Published by: IGI Global
A Method for Generating Comparison Tables From the Semantic Web
This paper presents Versus, which is the first automatic method for generating comparison tables from knowledge bases of the Semantic Web. For this purpose, it introduces the contextual reference level to evaluate whether a...
Published by: IGI Global
A Service Architecture Using Machine Learning to Contextualize Anomaly Detection
This article introduces a service that helps provide context and an explanation for the outlier score given to any network flow record selected by the analyst. The authors propose a service architecture for the delivery of...
Published by: IGI Global
Efficient Open Domain Question Answering With Delayed Attention in Transformer-Based Models
Open Domain Question Answering (ODQA) on a large-scale corpus of documents (e.g. Wikipedia) is a key challenge in computer science. Although Transformer-based language models such as Bert have shown an ability to outperform...
Published by: IGI Global
Crime Analyses Using Data Analytics
One potential approach for crime analysis that has shown promising results is data analytics, particularly descriptive and predictive techniques. Data analytics can explore former criminal incidents seeking hidden correlations...
Published by: IGI Global
A Template for Defining Enterprise Modelling Constructs
The paper explains the need for a standard way of defining modelling constructs from different enterprise modelling languages and proposes a template for defining enterprise modelling constructs in a way that facilitates...
Published by: IGI Global
Detection of Shotgun Surgery and Message Chain Code Smells using Machine Learning Techniques
Code smell is an inherent property of software that results in design problems which makes the software hard to extend, understand, and maintain. In the literature, several tools are used to detect code smell that are informally...
Published by: IGI Global
Sheaf Representation of an Information System
Ever since Pawlak introduced the concepts of rough sets, it has attracted many researchers and scientists from various fields of science and technology. Particularly for algebraists as it presented a gold mine to explore the...
Published by: IGI Global
Impact of PDS Based kNN Classifiers on Kyoto Dataset
This article compares the performance of different Partial Distance Search-based (PDS) kNN classifiers on a benchmark Kyoto 2006+ dataset for Network Intrusion Detection Systems (NIDS). These PDS classifiers are named based on...
Published by: IGI Global
Initial Optimization Techniques for the Cube Algebra Query Language
A common model used in addressing today's overwhelming amounts of data is the OLAP Cube. The OLAP community has proposed several cube algebras, although a standard has still not been nominated. This study focuses on a recent...
Published by: IGI Global
Conditioned Slicing of Interprocedural Programs
Madhusmita Sahu
Jan 01, 2019
Program slicing is a technique to decompose programs depending on control flow and data flow amongst several lines of code in a program. Conditioned slicing is a generalization of static slicing and dynamic slicing. A variable...
Published by: IGI Global
Topological Properties of Multigranular Rough sets on Fuzzy Approximation Spaces
One of the extensions of the basic rough set model introduced by Pawlak in 1982 is the notion of rough sets on fuzzy approximation spaces. It is based upon a fuzzy proximity relation defined over a Universe. As is well known, an...
Published by: IGI Global
An Arabic Dialects Dictionary Using Word Embeddings
The dialectical Arabic and the Modern Standard Arabic lacks sufficient standardized language resources to enable the tasks of Arabic language processing, despite it being an active research area. This work addresses this issue...
Published by: IGI Global
Weighted SVMBoost based Hybrid Rule Extraction Methods for Software Defect Prediction
The software testing efforts and costs are mitigated by appropriate automatic defect prediction models. So far, many automatic software defect prediction (SDP) models were developed using machine learning methods. However, it is...
Published by: IGI Global
The Effects of Sampling Methods on Machine Learning Models for Predicting Long-term Length of Stay
The ability to predict the patients with long-term length of stay (LOS) can aid a hospital's admission management, maintain effective resource utilization and provide a high quality of inpatient care. Hospital discharge data...
Published by: IGI Global
Analyzing Evolution Patterns of Object-Oriented Metrics
Software evolution is mandatory to keep it useful and functional. However, the quality of the evolving software may degrade due to improper incorporation of changes. Quality can be monitored by analyzing the trends of software...
Published by: IGI Global
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