scholarly journals New Improved Algorithm for Mining Privacy - Preserving Frequent Itemsets

2011 ◽  
pp. 1-7
Author(s):  
Rashmi Awasthy ◽  
Rajesh Shrivastava ◽  
Bharat Solanki
Keyword(s):  
Data Mining ◽  
Research Area ◽  
Privacy Preserving ◽  
Frequent Itemsets ◽  
Important Research ◽  
New Approach ◽  
Large Databases ◽  
Very Large Databases ◽  
Important Research Area ◽  
Transaction Database

Due to the increasing use of very large databases and data warehouses, mining useful information and helpful knowledge from transactions is evolving into an important research area. Frequent Itemsets (FI) Mining is one of the most researched areas of data mining. In order to mining privacy preserving frequent itemsets on large transaction database efficiently, a new approach was proposed in this paper.

Evolutionary Data Mining for Genomics

2011 ◽  
pp. 482-486
Author(s):  
Laetitia Jourdan ◽  
Clarisse Dhaenens ◽  
El-Ghazali Talbi
Keyword(s):  
Data Mining ◽  
Information Theory ◽  
Genomic Data ◽  
Research Area ◽  
Biological Data ◽  
Important Research ◽  
Association Rule Discovery ◽  
Hidden Knowledge ◽  
Important Research Area ◽  
The Web

Knowledge discovery from genomic data has become an important research area for biologists. Nowadays, a lot of data is available on the Web, but it is wrong to say that corresponding knowledge is also available. For example, the first draft of the human genome, which contains 3,000,000,000 letters, was achieved in June 2000, but, up to now, only a small part of the hidden knowledge has been discovered. This is the aim of bioinformatics, which brings together biology, computer science, mathematics, statistics, and information theory to analyze biological data for interpretation and prediction. Hence, many problems encountered while studying genomic data may be modeled as data mining tasks, such as feature selection, classification, clustering, or association rule discovery.

Application of Fuzzy Cluster Analysis in the Judgment of the Aluminum Electrolyzer’s Status

2010 ◽  
Vol 20-23 ◽  
pp. 319-322
Author(s):  
Li Qing Hu ◽  
Man Shan Lin
Keyword(s):  
Data Mining ◽  
Clustering Analysis ◽  
Fuzzy Theory ◽  
Research Area ◽  
Fuzzy Cluster ◽  
Important Research ◽  
Fuzzy Cluster Analysis ◽  
Important Research Area ◽  
Condition Diagnosis ◽  
Production Decision

Clustering analysis is an important research area of Data Mining; it is a mathematical method to classification in terms of certain demand and rules. In this paper, the authors have applied fuzzy theory to the clustering analysis, and introduce data mining technology to the electrolytic control, and Carry on the excavation analysis of a variety of data produced by the control system, and then analyze the clustering result. Thus it achieves Electrolyzer’s condition diagnosis and production decision-making functions, and then achieves standardization of electrolyzer operation.

Climate change and employment relations

2017 ◽  
Vol 59 (5) ◽  
pp. 670-679 ◽  
Author(s):  
Caleb Goods
Keyword(s):  
Climate Change ◽  
Research Area ◽  
Research Note ◽  
Employment Relations ◽  
Important Research ◽  
Workplace Relations ◽  
Important Research Area

A central, yet overlooked, aspect of contemporary employment relations is the growing impact climate change is having on workplace relations. This research note outlines how climate change and workplace relations are linked, the minimal academic focus this important research area has received and the limited response from employment relations actors to the climate change challenge. Some examples of ‘climate bargaining’ are given to demonstrate both the connection between employment relations and climate change and to provide possible models for meaningfully advancing climate change actions in the workplace.

scholarly journals The Use of Literary Texts in EFL Coursebooks: An Exploratory Study

2020 ◽  
Vol 10 (3) ◽  
pp. 86
Author(s):  
Shaima Al-Saeed ◽  
Abdullah A. Alenezi
Keyword(s):  
Foreign Language ◽  
Exploratory Study ◽  
Early Period ◽  
Research Area ◽  
Higher Learning ◽  
Literary Texts ◽  
Important Research ◽  
Institutions Of Higher Learning ◽  
Important Research Area ◽  
And Linguistics

This exploratory study investigates the use of literary texts in English as a foreign language (EFL) coursebooks and examines the extent to which literature is used within the coursebooks, the types of texts used as regards authenticity and recency, the criteria for selecting and adapting the texts and the ways of improving the selection and adaptation process. Multiple articles written on this subject show that the evaluation of EFL coursebooks is a relevant and important research area in the study of language and linguistics. This study gives a survey of the extent to which literary texts are used in EFL coursebooks within institutions of higher learning in Kuwait and worldwide. In this study, 44 popular EFL coursebooks (between 2015 and 2019) within higher education institutes, including those in Kuwait, were analysed. The findings demonstrated that literary texts are not included in many of the coursebooks used nowadays and that the literary texts selected were primarily from an early period (more than a century ago). Furthermore, the results revealed that the coursebooks include a large percentage of inauthentic, ill-adapted works. Consequently, this study recommends incorporating authentic literary texts in EFL coursebooks comprising modern literature.

scholarly journals Exploring status consumption in South Africa: a literature review

2016 ◽  
Vol 13 (3) ◽  
pp. 131-136 ◽  
Author(s):  
Nkosivile Welcome Madinga ◽  
Eugine Tafadzwa Maziriri ◽  
Thobekani Lose
Keyword(s):  
South Africa ◽  
Research Area ◽  
Important Research ◽  
Middle Income ◽  
Status Consumption ◽  
Income Groups ◽  
The Status ◽  
Goods Market ◽  
Status Goods ◽  
Important Research Area

South Africa is one of the most important countries in the status goods market. In addition, it has the biggest share from the status consumption market in Africa and it is amongst fastest growing countries worldwide in status consumption. The growth in status consumption in South Africa is attributed to the growth of the high-income and middle-income groups. As the demand for status increases and status goods become more available, the concept of status has become an important research area for academics and marketers. The aim of this study is to explore the concept of status consumption and provide an overview of status consumption. In this study, the literature has been reviewed for the studies on the same subject to make a compilation

Formation of Multiple-Robots Using Vision Based Approach

2013 ◽  
Vol 419 ◽  
pp. 768-773 ◽  
Author(s):  
Bayanjargal Baasandorj ◽  
Aamir Reyaz ◽  
Batmunkh Battulga ◽  
Deok Jin Lee ◽  
Kil To Chong
Keyword(s):  
Artificial Intelligence ◽  
Mobile Robot ◽  
Research Area ◽  
Multiple Robots ◽  
Important Research ◽  
Communication Device ◽  
Important Research Area ◽  
Bluetooth Communication

Multi-robots system has grown enormously with a large variety of topics being addressed. It is an important research area within the robotics and artificial intelligence. By using the vision based approach this paper deals with the formation of multiple-robots. Three NXT robots were used in the experiment and all the three robots work together as one virtual mobile robot. In addition to these things we also used TCP/IP socket, ArToolKit, NXT robot, Bluetooth communication device. And for programming C++ was used. Results achieved from the experiment were highly successful.

Decoding the coupling between the brain and skin reactions in auditory stimulation by information-based analysis of EEG and GSR signals

2021 ◽  
pp. 1-10
Author(s):  
Najmeh Pakniyat ◽  
Hamidreza Namazi
Keyword(s):  
Brain Activity ◽  
Skin Resistance ◽  
Research Area ◽  
Important Research ◽  
Skin Reactions ◽  
Analysis Technique ◽  
Information Contents ◽  
Important Research Area ◽  
Electroencephalogram Eeg ◽  
The Brain

BACKGROUND: The analysis of brain activity in different conditions is an important research area in neuroscience. OBJECTIVE: This paper analyzed the correlation between the brain and skin activities in rest and stimulations by information-based analysis of electroencephalogram (EEG) and galvanic skin resistance (GSR) signals. METHODS: We recorded EEG and GSR signals of eleven subjects during rest and auditory stimulations using three pieces of music that were differentiated based on their complexity. Then, we calculated the Shannon entropy of these signals to quantify their information contents. RESULTS: The results showed that music with greater complexity has a more significant effect on altering the information contents of EEG and GSR signals. We also found a strong correlation (r= 0.9682) among the variations of the information contents of EEG and GSR signals. Therefore, the activities of the skin and brain are correlated in different conditions. CONCLUSION: This analysis technique can be utilized to evaluate the correlation among the activities of various organs versus brain activity in different conditions.

Comparison of Linguistic Summaries and Fuzzy Functional Dependencies Related to Data Mining

2014 ◽  
pp. 174-203 ◽  
Author(s):  
Miroslav Hudec ◽  
Miljan Vučetić ◽  
Mirko Vujošević
Keyword(s):  
Data Mining ◽  
Fuzzy Logic ◽  
Relational Databases ◽  
Missing Values ◽  
Expert Knowledge ◽  
Real Data ◽  
Research Area ◽  
Functional Dependencies ◽  
Useful Knowledge ◽  
Important Research Area

Data mining methods based on fuzzy logic have been developed recently and have become an increasingly important research area. In this chapter, the authors examine possibilities for discovering potentially useful knowledge from relational database by integrating fuzzy functional dependencies and linguistic summaries. Both methods use fuzzy logic tools for data analysis, acquiring, and representation of expert knowledge. Fuzzy functional dependencies could detect whether dependency between two examined attributes in the whole database exists. If dependency exists only between parts of examined attributes' domains, fuzzy functional dependencies cannot detect its characters. Linguistic summaries are a convenient method for revealing this kind of dependency. Using fuzzy functional dependencies and linguistic summaries in a complementary way could mine valuable information from relational databases. Mining intensities of dependencies between database attributes could support decision making, reduce the number of attributes in databases, and estimate missing values. The proposed approach is evaluated with case studies using real data from the official statistics. Strengths and weaknesses of the described methods are discussed. At the end of the chapter, topics for further research activities are outlined.

How Can We Trust Agents in Multi-Agent Environments? Techniques and Challenges

2009 ◽  
pp. 2843-2864 ◽  
Author(s):  
Kostas Kolomvatsos ◽  
Stathes Hadjiefthymiades
Keyword(s):  
Computer Science ◽  
Research Area ◽  
Software Components ◽  
Important Research ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Potential Partner ◽  
Multi Agent ◽  
Important Research Area

The field of Multi-agent systems (MAS) has been an active area for many years due to the importance that agents have to many disciplines of research in computer science. MAS are open and dynamic systems where a number of autonomous software components, called agents, communicate and cooperate in order to achieve their goals. In such systems, trust plays an important role. There must be a way for an agent to make sure that it can trust another entity, which is a potential partner. Without trust, agents cannot cooperate effectively and without cooperation they cannot fulfill their goals. Many times, trust is based on reputation. It is an indication that we may trust someone. This important research area is investigated in this book chapter. We discuss main issues concerning reputation and trust in MAS. We present research efforts and give formalizations useful for understanding the two concepts.

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