PENERAPAN FRAMEWORK CRISP-DM UNTUK ANALISIS SENTIMEN ULASAN APLIKASI CROWDFUN…

Ulasan pengguna pada platform crowdfunding memiliki nilai strategis sebagai bahan evaluasi kualitas layanan. Penelitian ini menganalisis sentimen ulasan pengguna aplikasi Kitabisa serta membandingkan kinerja algoritma Naive Bayes, Support Vector Machine (SVM), dan Random Forest dengan menerapkan framework CRISP-DM. Data penelitian terdiri dari 1.624 ulasan yang dikumpulkan dari Google Play Stor…

PENERAPAN ANALISIS KLASTER K-MEDOIDS DALAM PENGELOMPOKKAN SAYURAN BERDASARKAN…

The high percentage of insufficient vegetable consumption in Indonesia remains a ‎concern, as it is still below the recommended intake. Identifying alternative vegetables ‎with similar nutritional content can facilitate the clustering process and assist in ‎selecting substitute vegetables with comparable nutrients. Therefore, clustering ‎analysis is required to identify groups of vegeta…

SISTEM REKOMENDASI MAKANAN INDONESIA MENGGUNAKAN ALGORITMA LONG SHORT-TERM ME…

The vast diversity of Indonesian cuisine often leads to information overload and the "paradox of choice" for users. Existing conventional search systems are unable to understand specific personal preferences, necessitating an intelligent recommendation system. This research aims to (1) design and build a hybrid Indonesian food recommendation system model combining the Long Short-Term Memory (LS…

CLUSTERING NILAI SISWA SMA UNTUK MENENTUKAN BIDANG KEILMUAN PERGURUAN TINGGI …

Currently, there are still many students in high school who are still confused in determining the scientific field in higher education, even though the scientific field is one of the important things before determining the college they want to enter. They still depend on their parents or friends when they want to choose a scientific field, these high school students don't have a strong reason t…

KLASIFIKASI SMS SPAM BERBAHASA INDONESIA MENGGUNAKAN K-NEAREST NEIGHBOR DAN C…

SMS Spam sangat membahayakan sehingga dapat menyebabkan kerugian bagi pengguna layanan SMS. Untuk mengatasi hal tersebut, dibutuhkan metode yang dapat membantu mengelompokan SMS sesuai dengan ketegorinya, yaitu Spam dan non spam. Klasifikasi merupakan salah satu proses mengelompokkan data kedalam kelas yang telah ditentukan sebelumnya. Pengklasifikasian melewati beberapa tahapan yaitu, pra peng…

SEGMENTASI PELANGGAN MENGGUNAKAN ALGORITMA K-MEANS DENGAN ELBOW METHOD PADA S…

Customer segmentation is a significant application of data analysis in business. This research uses the K-Means algorithm to group customer data based on transaction habits, with parameters from the dataset as cluster determinants. To determine the optimal number of clusters, the Elbow Method is applied, which is based on the highest difference of inertia values. The results show that 2 cluster…

KOMPARASI KLASTERISASI DATA HISTORIS GEMPA BUMI MENGGUNAKAN DBSCAN, K-MEANS, …

Earthquakes belong to the category of natural disasters that are prone to occur on the island of Sumatera and pose a serious challenge because they can have a devastating impact on human life, such as loss of life, material losses, and environmental damage. Consequently, earthquake hazard zone mapping is needed to provide information about the potential and history of disasters and is an import…

KLASIFIKASI SERANGAN JANTUNG MENGGUNAKAN METODE NAIVE BAYES

Heart disease is one of the diseases that causes many deaths, both in developed and developing countries. The high mortality rate due to heart disease is attributed to the lack of attention in society towards healthy eating and the absence of periodic health check-ups. Heart disease occurs when the heart's performance deviates from normal or experiences abnormalities. Several causes of heart di…

PERBANDINGAN MODEL SUPPORT VECTOR REGRESSION, RANDOM FOREST REGRESSION, DAN R…

Cabai adalah salah satu komoditas penyebab inflasi dan sangat vital bagi konsumsi masyarakat Indonesia. Di wilayah Sumatera Selatan, harga cabai seringkali tidak stabil sehingga dibutuhkan analisis prediksi harga cabai guna memitigasi dampak ketidakstabilan harga, terutama di Pasar Tradisional. Penelitian ini membandingkan tiga model penambangan data yaitu Support Vector Regression (SVR), Rando…

CLUSTERING KUNJUNGAN WISATAWAN MANCANEGARA DI INDONESIA DENGAN METODE DBSCAN

The tourism sector is one of the sectors that affects approximately 4% of the total economy in Indonesia. One of them is the activity of visits from foreign tourists to Indonesia which always fluctuates every year, especially during the Covid-19 pandemic which caused a drastic decline. This research discusses the Clustering of Foreign Tourist Visits in Indonesia with the DBSCAN Method. The data…

Data Science in Societal Applications: Concepts and Implications

The book provides an insight into the practical applications and theoretical foundation of data science. The book discusses new ways of embracing agile approaches to various facets of data science, including machine learning and artificial intelligence, data mining, data visualization, and communication. The book includes contributions from academia and industry experts detailing the shortfalls…

Recent Trends in Analysis of Images, Social Networks and Texts: 10th Internat…

This book constitutes revised selected papers of the 10th International Conference on Analysis of Images, Social Networks and Texts, AIST 2021, held in Tbilisi, Georgia, in December 2021. Due to the COVID-19 pandemic the conference was held in hybrid mode. The 17 full papers were carefully reviewed and selected from 118 submissions, out of which 92 were sent to peer review. The papers are o…

Text Mining for Information Professionals: An Uncharted Territory

This book focuses on a basic theoretical framework dealing with the problems, solutions, and applications of text mining and its various facets in a very practical form of case studies, use cases, and stories. The book contains 11 chapters with 14 case studies showing 8 different text mining and visualization approaches, and 17 stories. In addition, both a website and a Github account are al…

Web Information Systems and Applications: 19th International Conference, WISA…

This book constitutes the proceedings of the 19th International Conference on Web Information Systems and Applications, WISA 2022, held in Dalian, China, in September 2022. The 45 full papers and 19 short papers presented were carefully reviewed and selected from 212 submissions. The papers are grouped in topical sections on knowledge graph, natural language processing, world wide web, machine…

Data Analytics and Management in Data Intensive Domains: 23rd International C…

This book constitutes the post-conference proceedings of the 23rd International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2021, held in Moscow, Russia, in October 2021*. The 16 revised full papers were carefully reviewed and selected from 61 submissions. The papers are organized in the following topical sections: problem solving infrastructures, experim…

Distributed Machine Learning and Gradient Optimization

This book presents the state of the art in distributed machine learning algorithms that are based on gradient optimization methods. In the big data era, large-scale datasets pose enormous challenges for the existing machine learning systems. As such, implementing machine learning algorithms in a distributed environment has become a key technology, and recent research has shown gradient-based it…

Analysis of Images, Social Networks and Texts: 10th International Conference,…

This book constitutes revised selected papers from the thoroughly refereed proceedings of the 10th International Conference on Analysis of Images, Social Networks and Texts, AIST 2021, held in Tbilisi, Georgia, during December 16–18, 2021. The 20 full papers and 5 short papers included in this book were carefully reviewed and selected from 118 submissions. They were organized in topical secti…

Data Science: 8th International Conference of Pioneering Computer Scientists,…

This two volume set (CCIS 1628 and 1629) constitutes the refereed proceedings of the 8th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2022 held in Chengdu, China, in August, 2022. The 65 full papers and 26 short papers presented in these two volumes were carefully reviewed and selected from 261 submissions. The papers are organized in topical …

Big Data Analytics: 10th International Conference, BDA 2022, Hyderabad, India…

This book constitutes the proceedings of the 10th International Conference on Big Data Analytics, BDA 2022, which took place in Hyderabad, India, in December 2022. The 7 full papers and 7 short papers presented in this volume were carefully reviewed and selected from 36 submissions. The book also contains 4 keynote talks in full-paper length. The papers are organized in the following topical se…

Database Systems for Advanced Applications: 27th International Conference, DA…

The three-volume set LNCS 13245, 13246 and 13247 constitutes the proceedings of the 26th International Conference on Database Systems for Advanced Applications, DASFAA 2022, held online, in April 2021. The total of 72 full papers, along with 76 short papers, are presented in this three-volume set was carefully reviewed and selected from 543 submissions. Additionally, 13 industrial papers, 9 de…

Advances in Knowledge Discovery and Data Mining: 26th Pacific-Asia Conference…

The 3-volume set LNAI 13280, LNAI 13281 and LNAI 13282 constitutes the proceedings of the 26th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2022, which was held during May 2022 in Chengdu, China. The 121 papers included in the proceedings were carefully reviewed and selected from a total of 558 submissions. They were organized in topical sections as follo…

Process Mining Workshops: ICPM 2021 International Workshops, Eindhoven, The N…

This open access book constitutes revised selected papers from the International Workshops held at the Third International Conference on Process Mining, ICPM 2021, which took place in Eindhoven, The Netherlands, during October 31–November 4, 2021. The conference focuses on the area of process mining research and practice, including theory, algorithmic challenges, and applications. The co-l…

Technologies and Applications for Big Data Value

This open access book explores cutting-edge solutions and best practices for big data and data-driven AI applications for the data-driven economy. It provides the reader with a basis for understanding how technical issues can be overcome to offer real-world solutions to major industrial areas. The book starts with an introductory chapter that provides an overview of the book by positioning…

Data Science for Economics and Finance: Methodologies and Applications

This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in…

Distributed Systems and Applications of Information Filtering and Retrieval: …

This volume focuses on new challenges in distributed Information Filtering and Retrieval. It collects invited chapters and extended research contributions from the special session on Information Filtering and Retrieval: Novel Distributed Systems and Applications (DART) of the 4th International Conference on Knowledge Discovery and Information Retrieval (KDIR 2012), held in Barcelona, Spain, on …

Evolutionary Data Clustering: Algorithms and Applications

Edition

1

ISBN/ISSN

978-981-33-4191-3

Collation

xii, 248p.:Ill.

Series Title

-

Call Number

006.3 Evo

Data Science and Intelligent Applications

Edition

-

ISBN/ISSN

978-981-15-4474-3

Collation

xiii, 576p.:Ill

Series Title

Lecture Notes on Data Engineering and Communications Technologies

Call Number

005.7 Dat

New Developments in Unsupervised Outlier Detection

Edition

1

ISBN/ISSN

978-981-15-9519-6

Collation

xxi, 277p.:Ill

Series Title

-

Call Number

006.312 Wan n

Advances in Data Science: Methodologies and Applications

Big data and data science are transforming our world today in ways we could not have imagined at the beginning of the twenty-first century. The accompanying wave of innovation has sparked advances in healthcare, engineering, business, science, and human perception, among others. The tremendous advances in computing power and intelligent techniques have opened many opportunities for managing dat…

Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery

This book consists of papers on the recent progresses in the state of the art in natural computation, fuzzy systems and knowledge discovery. The book is useful for researchers, including professors, graduate students, as well as R & D staff in the industry, with a general interest in natural computation, fuzzy systems and knowledge discovery. The work printed in this book was presented at the 2…