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Manajemen Bisnis
Entitas bisnis saat ini dihadapkan pada perubahan yang senantiasa terjadi secara cepat, dinamis dan sulit untuk diprediksi serta perubahan yang terjadi dapat mengakibatkan adanya disrupsi lintas industri. Hal tersebut memaksa entitas bisnis untuk senantiasa melakukan adaptasi secara cepat dan akurat sehingga dapat mencapai tujuan perusahaan yaitu untuk berkembang dan memenangkan persaingan. Untuk mencapai tujuan tersebut, maka perusahaan perlu melakukan serangkaian pengelolaan untuk memastikan bahwa sumber daya yang dimiliki dapat dimanfaatkan secara maksimal. Melalui serangkaian alat dan fungsi manajemen, entitas bisnis melalui manajerialnya dapat melakukan tindakan preventif dan kuratif se...
Association Rule Mining
Due to the popularity of knowledge discovery and data mining, in practice as well as among academic and corporate R&D professionals, association rule mining is receiving increasing attention. The authors present the recent progress achieved in mining quantitative association rules, causal rules, exceptional rules, negative association rules, association rules in multi-databases, and association rules in small databases. This book is written for researchers, professionals, and students working in the fields of data mining, data analysis, machine learning, knowledge discovery in databases, and anyone who is interested in association rule mining.
High-Utility Pattern Mining
This book presents an overview of techniques for discovering high-utility patterns (patterns with a high importance) in data. It introduces the main types of high-utility patterns, as well as the theory and core algorithms for high-utility pattern mining, and describes recent advances, applications, open-source software, and research opportunities. It also discusses several types of discrete data, including customer transaction data and sequential data. The book consists of twelve chapters, seven of which are surveys presenting the main subfields of high-utility pattern mining, including itemset mining, sequential pattern mining, big data pattern mining, metaheuristic-based approaches, privacy-preserving pattern mining, and pattern visualization. The remaining five chapters describe key techniques and applications, such as discovering concise representations and regular patterns.
Perkembangan dimensi hak asasi manusia (HAM) & proses dinamika penyusunan hukum hak asasi manusia (Hakham)
Law enforcement in human rights abuse in Indonesia.
Evaluasi program asuransi kesejahteraan sosial
Evaluation on social insurance program in Riau, Sulawesi Selatan, Nusa Tenggara Barat, and Jawa Timur.
Data Mining
Presents the latest techniques for analyzing and extracting information from large amounts of data in high-dimensional data spaces The revised and updated third edition of Data Mining contains in one volume an introduction to a systematic approach to the analysis of large data sets that integrates results from disciplines such as statistics, artificial intelligence, data bases, pattern recognition, and computer visualization. Advances in deep learning technology have opened an entire new spectrum of applications. The author—a noted expert on the topic—explains the basic concepts, models, and methodologies that have been developed in recent years. This new edition introduces and expands o...
Feature Extraction, Construction and Selection
There is broad interest in feature extraction, construction, and selection among practitioners from statistics, pattern recognition, and data mining to machine learning. Data preprocessing is an essential step in the knowledge discovery process for real-world applications. This book compiles contributions from many leading and active researchers in this growing field and paints a picture of the state-of-art techniques that can boost the capabilities of many existing data mining tools. The objective of this collection is to increase the awareness of the data mining community about the research of feature extraction, construction and selection, which are currently conducted mainly in isolation...
Proceedings of the Ninth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2017)
This book presents 18 carefully selected papers from the ninth edition of the International Conference on Soft Computing and Pattern Recognition (SoCPaR 2017), which was held in Marrakesh, Morocco from December 11 to 13, 2017. A premier conference in the Soft Computing field, SoCPaR brings together the world’s leading researchers and practitioners interested in advancing the state of the art in Soft Computing and Pattern Recognition, allowing them to exchange notes on a broad range of disciplines. The book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering.
