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Sistem Informasi Manajemen
Buku ini terdiri dari 15 bab, yaitu: (1) Pengertian dan perkembangan informasi manajemen; (2) Konsep sistem informasi manajemen; (3) Pengambilan keputusan manajemen dan informasi yang dibutuhkan; (4) Aplikasi sistem informasi perusahaan; (5) Pengembangan sistem informasi; (6) Sistem informasi manajemen berbasis komputer; (7) Sistem manajemen basis data; (8) Pengendalian sistem informasi; (9) Sistem informasi enterprise; (10) Sistem informasi dalam organisasi; (11) Sistem informasi eksekutif; (12) Sistem informasi akuntansi; (13) Sistem informasi sumber daya manusia; (14) Sistem informasi pemasaran; (15) Sistem informasi bisnis
Machine Learning in Action
Summary Machine Learning in Action is unique book that blends the foundational theories of machine learning with the practical realities of building tools for everyday data analysis. You'll use the flexible Python programming language to build programs that implement algorithms for data classification, forecasting, recommendations, and higher-level features like summarization and simplification. About the Book A machine is said to learn when its performance improves with experience. Learning requires algorithms and programs that capture data and ferret out the interestingor useful patterns. Once the specialized domain of analysts and mathematicians, machine learning is becoming a skill neede...
Feminist Stylistics
First published in 2004. Routledge is an imprint of Taylor & Francis, an informa company.
The Top Ten Algorithms in Data Mining
Identifying some of the most influential algorithms that are widely used in the data mining community, The Top Ten Algorithms in Data Mining provides a description of each algorithm, discusses its impact, and reviews current and future research. Thoroughly evaluated by independent reviewers, each chapter focuses on a particular algorithm and is wri
Business Intelligence
Business intelligence is a broad category of applications and technologies for gathering, providing access to, and analyzing data for the purpose of helping enterprise users make better business decisions. The term implies having a comprehensive knowledge of all factors that affect a business, such as customers, competitors, business partners, economic environment, and internal operations, therefore enabling optimal decisions to be made. Business Intelligence provides readers with an introduction and practical guide to the mathematical models and analysis methodologies vital to business intelligence. This book: Combines detailed coverage with a practical guide to the mathematical models and ...
Data Mining
The knowledge discovery process is as old as Homo sapiens. Until some time ago this process was solely based on the ‘natural personal' computer provided by Mother Nature. Fortunately, in recent decades the problem has begun to be solved based on the development of the Data mining technology, aided by the huge computational power of the 'artificial' computers. Digging intelligently in different large databases, data mining aims to extract implicit, previously unknown and potentially useful information from data, since “knowledge is power”. The goal of this book is to provide, in a friendly way, both theoretical concepts and, especially, practical techniques of this exciting field, ready to be applied in real-world situations. Accordingly, it is meant for all those who wish to learn how to explore and analysis of large quantities of data in order to discover the hidden nugget of information.
Educating for Character
Calls for renewed moral education in America's schools, offering dozens of programs schools can adopt to teach students respect, responsibility, hard work, and other values that should not be left to parents to teach.
Language, Gender and Feminism
Language, Gender and Feminism introduces students to key theoretical perspectives, methodology and analytical frameworks in the field of feminist linguistic analysis, providing readers with a comprehensive survey of the current state of the field.
Information Retrieval
Interested in how an efficient search engine works? Want to know what algorithms are used to rank resulting documents in response to user requests? The authors answer these and other key information retrieval design and implementation questions. This book is not yet another high level text. Instead, algorithms are thoroughly described, making this book ideally suited for both computer science students and practitioners who work on search-related applications. As stated in the foreword, this book provides a current, broad, and detailed overview of the field and is the only one that does so. Examples are used throughout to illustrate the algorithms. The authors explain how a query is ranked ag...
Learning from Imbalanced Data Sets
This book provides a general and comprehensible overview of imbalanced learning. It contains a formal description of a problem, and focuses on its main features, and the most relevant proposed solutions. Additionally, it considers the different scenarios in Data Science for which the imbalanced classification can create a real challenge. This book stresses the gap with standard classification tasks by reviewing the case studies and ad-hoc performance metrics that are applied in this area. It also covers the different approaches that have been traditionally applied to address the binary skewed class distribution. Specifically, it reviews cost-sensitive learning, data-level preprocessing metho...
