Data Mining – Concepts and Techniques
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Recent papers in Data Mining – Concepts and Techniques
International Conference on Data Science and Applications (DSA 2020) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Data Science and Applications. It... more
Due to the arrival of new technologies, devices, and communication means, the amount of data produced by mankind is growing rapidly every year. This gives rise to the era of big data. The term big data comes with the new challenges to... more
The Internet may be free, but service provider’s indispensable to access services are not, to the extent that while the complexity and burden of the sites increases, it is becoming more and more expensive to surf the net. Blocking access... more
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist... more
7th International Conference on Data Mining & Knowledge Management (DaKM 2022) provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum. Authors are solicited to contribute to the... more
We describe a nonparametric algorithm based on the empirical distribution function which can be used for classification and prediction. The EDFs of at least ordinally-scaled variables are used to classify or predict the value of a target... more
The Healthcare industry contains big and complex data that may be required in order to discover fascinating pattern of diseases & makes effective decisions with the help of different machine learning techniques. Advanced data mining... more
Stress will exist once operating or paying attention to somebody shouts at you. It is caused through conflicts, creating selections, or otherwise straining skills, or it will exist owing to various social demands on time. it's noted that... more
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist... more
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Health care industry produces enormous quantity of data that clutches complex information relating to patients and their medical conditions. Data mining is gaining popularity in different research arenas due to its infinite applications... more
Call for Papers 7 th International Conference on Data Mining & Knowledge Management (DaKM 2022) provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum. Authors are solicited to... more
In the current era, the amount of data generated from various device sources and business transactions is rising exponentially, and the current machine learning techniques are not feasible for handling the massive volume of data. Two... more
This is a research paper done on Data mining techniques and application in the agricultural sector.
Artificial intelligence techniques are still revealing their pros; however, several fields have benefited from these techniques. In this study we applied the Decision Tree (DT-CART) method derived from artificial intelligence techniques... more
Landslides are the major natural disaster in hill country of Sri Lanka, which create terrible economical and ecological damages. Therefore, the fast detection is important. Currently in Sri Lanka,predict landslides based on a map reading... more
Computer-aided technologies (CAx) mean the use of computer technology to aid in the design, analysis and manufacture various products. International Journal of Computer-Aided technologies (IJCAx) is an open access, peer-reviewed journal... more
Today's era is an era of modernization and globalization. Everything is happening at a very fast rate whether it is politics, societal reforms, commercialization, transportation, or educational innovations. In every few second, technology... more
In this paper is analyzed the design of a software platform concerning a case study of process engineering involving the simultaneous adoption of data digitation, Data Mining-DM-processing, and Augmented Reality-AR-. Specifically is... more
There is different decision tree based algorithms in data mining tools. These algorithms are used for classification of data objects and used for decision making purpose. This study determines the decision tree based ID3 algorithm and its... more
In this paper we show apply text mining techniques, Correspondence Analysis and Fuzzy C-Means Clustering in order to identify associations among countries and titles of documents available at a profile in Academia.edu. All analysis was... more
Information security is a vital aspect of any organization. Most of the organizations relay and trust on the intrusion Detection System (IDS) which play important role in detecting intrusions in data network environment. The design of IDS... more
Today in this real world, where we deal with vast amounts of data, we are in a situation to extract the best among them. Data mining is a new and imminent trend to discover the information and knowledge from the existing data. The gained... more
Understanding the evolution and emergence of technology domains remains a challenge, particularly so for potentially breakthrough technologies. Though it is well recognized that emergence of new fields is complex and uncertain, to make... more
Peranan listrik sangat penting bagi setiap lapisan masyarakat bahkan listrik juga sangat dibutuhkan sebagai sarana produksi dan untuk kehidupan sehari-hari, begitu pentingnya peranan listrik tentu saja berdampak pada permintaan listrik... more
Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. There is an urgent need for a new generation of computational theories and tools to assist... more
Web is a collection of interrelated files on one or more web servers while web mining means extracting valuable information from web databases. Web mining is one of the data mining domains where data mining techniques are used for... more
Data mining and knowledge discovery of database is magnetizing wide array of non-trivial research arena, making easy to industrial decision support systems and continues to expand even beyond imagination in one such promising field like... more
13th International conference on Database Management Systems (DMS 2022) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Database Management Systems. The goal of... more
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Abstract— Context: Data Mining (DM) method has been evolving year by year and as of today there is also the enhancement of DM technique that can be run several times faster than the traditional one, called Distributed Data Mining (DDM).... more
Google classifies software raters as software end-users and established that raters’ experience is a good criterion for judgement of software quality on online software repositories (OSR). Knowing the number of end-users helps in planning... more
The integration of XML data sources which have different schemas/DTD can originate structural and vocabular heterogeneity. In this context, it is difficult to write satisfiable queries. As a solution, many Information Systems focus on... more
Due to the arrival of new technologies, devices, and communication means, the amount of data produced by mankind is growing rapidly every year. This gives rise to the era of big data. The term big data comes with the new challenges to... more
Data exploration and visualization systems are of great importance in the Big Data era, in which the volume and heterogeneity of available information make it difficult for humans to manually explore and analyse data. Most traditional... more
This paper will discuss the general relationship between data mining tools and data warehousing system, especially on how the data needs to be prepared in the data warehouse before being used by a data mining tool, and how the result of... more
This contribution presents a brief history of softwares for identifying of typical daily load pro¯les developed in the Brazilian electric power sector since the eighties. In order to tell this history we present the features of three... more