Academic Articles & Research Papers

Identification of differentially abundant micro-organisms associated with Sjögren's syndrome: a 16S rRNA sequencing data mining approach.

Personalized and differentially private federated learning for mobility data mining via the TrajectoryGuard framework.

An Intelligent Fuzzy System for Diabetes Disease Detection using Harris Hawks Optimization

This paper proposed a fuzzy expert system for diagnosing diabetes. In the proposed method, at first, the fuzzy rules are generated based on the Pima Indians Diabetes Database (PIDD) and then the fuzzy membership functions are tuned using th...

Parallelly Running k-Nearest Neighbor Classification Over Semantically Secure Encrypted Data in Outsourced Environments

Cloud services with powerful resources are popularly used to manage exponentially increasing data and to carry out data mining to analyze the data. However, a data mining involving query can cause privacy problems by disclosing both the dat...

Statistics and data mining

Statistics and data mining have much in common, but they also have differences. The nature of the two disciplines is examined, with emphasis on their similarities and differences....

A Decision Support Model for Hotel Recommendation Based on the Online Consumer Reviews Using Logarithmic Spherical Hesitant Fuzzy Information

Spherical hesitant fuzzy sets have recently become more popular in various fields. It was proposed as a generalization of picture hesitant fuzzy sets and Pythagorean hesitant fuzzy sets in order to deal with uncertainty and fuzziness inform...

Multi-label Patent Classification Based on Text and Historical Data

Patent classification,which is used to assign multiple international patent classification(IPC) codes to a given paten,is a very important task int the field of patent data mining.In recent years,many studies on this task focus on mining pa...

DATA MINING APPLICATIONS IN TRANSPORTATION ENGINEERING

Data mining is the extraction of implicit, previously unknown and potentially useful information from data. In recent time, data mining studies have been carried out in many engineering disciplines. In this paper the background of data mini...

Perbandingan Simple Logistic Classifier dengan Support Vector Machine dalam Memprediksi Kemenangan Atlet

Abstrak— Prediksi kemenangan atlet adalah hal yang harus dilakukan oleh pelatih ketika memutuskan pemain  yang akan diturunkan dalam suatu pertandingan. Banyaknya faktor-faktor yang mempengaruhi kemenangan atlet membuat keputusan tersebut t...

Identification of DDIT4 as a potential prognostic marker associated with chemotherapeutic and immunotherapeutic response in triple-negative breast cancer

Abstract Background Triple-negative breast cancer (TNBC) is the most heterogenous and aggressive subtype of breast cancer. Chemotherapy remains the standard treatment option for patients with TNBC owing to the unavailability of acceptable t...

A preliminary study on productivity investments in tourism security of a multi-islands province: Community perspectives for holiday destination holistic strategy for Community-Based Tourism model of Romblon, the Philippines

Community-Based Tourism is seen for having a huge impact on rural communities in the Philippines and many countries. It is generally known for its pro-poor implications that deliver socio-cultural, ecological, and economic benefits to steer...

Data Mining Techniques in Medical Informatics

The advent of high-performance computing has benefited various disciplines in finding practical solutions to their problems, and our health care is no exception to this.Signal processing, image processing, and data mining tools have been de...

Uncertainty and Decisions in Medical Informatics

This paper presents a tutorial introduction to the handling of uncertainty and decision-making in medical reasoning systems. It focuses on the central role of uncertainty in all of medicine and identifies the major themes that arise in rese...

Theory, Abstraction and Design in Medical Informatics

OBJECTIVE: To analyze the scientific and engineering components of Medical Informatics. A clear characterization of these components should be undertaken to categorize different areas of Medical Informatics and create a research agenda for ...

Software Engineering in Medical Informatics

This study presents a systematic literature review to provide overall view of the application of Software Engineering (SE) in Medical Informatics (MI) field. Articles published from 2010 to 2019 from seven selected databases (Emerald, PubMe...

Medical Informatics Europe '99

This volume seeks to reflect the state of the art on medical informatics. It presents ideas that will guide the process of medical informatics. Topics in the book include: information systems in health care and medicine; telemedicine and te...

Medical Informatics

Knowledge Management and Data Mining in Biomedicine covers the basic foundations of the area while extending the foundational material to include the recent leading-edge research in the field. The new...

Poly (ADP-ribose) Polymerase Promoter Hypermethylation Predispose Females to Breast Cancer

Being the most common cause of female deaths worldwide, breast cancer (BC) is intensively studied over the last two decades. In the present investigation, we evaluated the promoter methylation of three cancer-related genes; PARP-1, p21, and...

Quantum Machine Learning: What Quantum Computing Means to Data Mining

Quantum Machine Learning bridges the gap between abstract developments in quantum computing and the applied research on machine learning. Paring down the complexity of the disciplines involved, it focuses on providing a synthesis that expla...

Distributed Systems

The origins of big data technologies come from database systems and distributed systems as well as data mining and machine learning algorithms that can process these vast amounts of data to extract the necessary knowledge. This chapter addr...