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Data Mining for Business Analytics

Concepts, Techniques and Applications in Python

Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using Python software for illustration Readers will learn how to implement a variety of popular data mining algorithms in Python (a free and open-source software) to tackle business problems and opportunities. This is the sixth version of this successful text, and the first using Python. It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining and network analysis. It also includes: A new co-author, Peter Gedeck, who brings both experience teaching business analytics courses using Python, and expertise in the application of machine learning methods to the drug-discovery process A new section on ethical issues in data mining Updates and new material based on feedback from instructors teaching MBA, undergraduate, diploma and executive courses, and from their students More than a dozen case studies demonstrating applications for the data mining techniques described End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented A companion website with more than two dozen data sets, and instructor materials including exercise solutions, PowerPoint slides, and case solutions Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python is an ideal textbook for graduate and upper-undergraduate level courses in data mining, predictive analytics, and business analytics. This new edition is also an excellent reference for analysts, researchers, and practitioners working with quantitative methods in the fields of business, finance, marketing, computer science, and information technology. “This book has by far the most comprehensive review of business analytics methods that I have ever seen, covering everything from classical approaches such as linear and logistic regression, through to modern methods like neural networks, bagging and boosting, and even much more business specific procedures such as social network analysis and text mining. If not the bible, it is at the least a definitive manual on the subject.” —Gareth M. James, University of Southern California and co-author (with Witten, Hastie and Tibshirani) of the best-selling book An Introduction to Statistical Learning, with Applications in R

This is the sixth version of this successful text, and the first using Python.

Data Mining for Business Analytics

Concepts, Techniques, and Applications with XLMiner

An applied approach to data mining and predictive analytics with clear exposition, hands-on exercises, and real-life case studies. Readers will work with all of the standard data mining methods using the Microsoft® Office Excel® add-in XLMiner® to develop predictive models and learn how to obtain business value from Big Data. Featuring updated topical coverage on text mining, social network analysis, collaborative filtering, ensemble methods, uplift modeling and more, the Third Edition also includes: Real-world examples to build a theoretical and practical understanding of key data mining methods End-of-chapter exercises that help readers better understand the presented material Data-rich case studies to illustrate various applications of data mining techniques Completely new chapters on social network analysis and text mining A companion site with additional data sets, instructors material that include solutions to exercises and case studies, and Microsoft PowerPoint® slides https://www.dataminingbook.com Free 140-day license to use XLMiner for Education software Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner®, Third Edition is an ideal textbook for upper-undergraduate and graduate-level courses as well as professional programs on data mining, predictive modeling, and Big Data analytics. The new edition is also a unique reference for analysts, researchers, and practitioners working with predictive analytics in the fields of business, finance, marketing, computer science, and information technology. Praise for the Second Edition "…full of vivid and thought-provoking anecdotes... needs to be read by anyone with a serious interest in research and marketing."– Research Magazine "Shmueli et al. have done a wonderful job in presenting the field of data mining - a welcome addition to the literature." – ComputingReviews.com "Excellent choice for business analysts...The book is a perfect fit for its intended audience." – Keith McCormick, Consultant and Author of SPSS Statistics For Dummies, Third Edition and SPSS Statistics for Data Analysis and Visualization Galit Shmueli, PhD, is Distinguished Professor at National Tsing Hua University’s Institute of Service Science. She has designed and instructed data mining courses since 2004 at University of Maryland, Statistics.com, The Indian School of Business, and National Tsing Hua University, Taiwan. Professor Shmueli is known for her research and teaching in business analytics, with a focus on statistical and data mining methods in information systems and healthcare. She has authored over 70 journal articles, books, textbooks and book chapters. Peter C. Bruce is President and Founder of the Institute for Statistics Education at www.statistics.com. He has written multiple journal articles and is the developer of Resampling Stats software. He is the author of Introductory Statistics and Analytics: A Resampling Perspective, also published by Wiley. Nitin R. Patel, PhD, is Chairman and cofounder of Cytel, Inc., based in Cambridge, Massachusetts. A Fellow of the American Statistical Association, Dr. Patel has also served as a Visiting Professor at the Massachusetts Institute of Technology and at Harvard University. He is a Fellow of the Computer Society of India and was a professor at the Indian Institute of Management, Ahmedabad for 15 years.

The book is a perfect fit for its intended audience." – Keith McCormick, Consultant and Author of SPSS Statistics For Dummies, Third Edition and SPSS Statistics for Data Analysis and Visualization "…extremely well organized, clearly ...

Predictive Data Mining Models

This book reviews forecasting data mining models, from basic tools for stable data through causal models, to more advanced models using trends and cycles. These models are demonstrated on the basis of business-related data, including stock indices, crude oil prices, and the price of gold. The book’s main approach is above all descriptive, seeking to explain how the methods concretely work; as such, it includes selected citations, but does not go into deep scholarly reference. The data sets and software reviewed were selected for their widespread availability to all readers with internet access.

This book reviews forecasting data mining models, from basic tools for stable data through causal models, to more advanced models using trends and cycles.

Modul Bahasa Inggris Tingkat Dasar

Modul Bahasa Inggris Tingkat Dasar

Modul Bahasa Inggris Tingkat Dasar

Akuntansi Biaya

Book cahpter ini disusun oleh sejumlah akademisi dan praktisi sesuai dengan kepakarannya masing-masing. Buku ini diharapkan dapat hadir memberi kontribusi positif dalam ilmu pengetahuan khususnya terkait dengan Akuntansi Biaya. Sistematika buku “Akuntansi Biaya” ini mengacu pada pendekatan konsep teoritis dan contoh penerapan. Buku ini terdiri atas 10 Bab yang dibahas secara rinci dalam pembahasan, diantaranya: Pengertian Dan Posisi Akuntansi Biaya, Metode Penentuan Harga Pokok Pesanan, Klasifikasi Biaya Dan Sistem Akuntansi Biaya, Penggolongan Biaya Overhead Pabrik, Serta Penentuan Tarifnya, Departementalisasi Biaya Overhead Pabrik, Biaya Bahan Baku Dan Biaya Tenaga Kerja, Penentuan Harga Pokok Persediaan Produk Proses Awal, Metode Harga Pokok Proses Pengantar, Sistem Biaya Standar, dan Metode Penentuan Harga Pokok Produk Bersama dan Sampingan.

Buku ini terdiri atas 10 Bab yang dibahas secara rinci dalam pembahasan, diantaranya: Pengertian Dan Posisi Akuntansi Biaya, Metode Penentuan Harga Pokok Pesanan, Klasifikasi Biaya Dan Sistem Akuntansi Biaya, Penggolongan Biaya Overhead ...

PENGANTAR HUKUM PERDATA INDONESIA

Timbulnya hukum karena manusia hidup bermasyarakat. Hukum mengatur hak dan kewajiban dalam hidup bermasyarakat dan juga mengatur bagaimana cara melaksanakan dan mempertahankan hak dan kewajiban itu. Hukum perdata yang mengatur hak dan kewajiban dalam hidup bermasyarakat disebut “hukum perdata material”.

Timbulnya hukum karena manusia hidup bermasyarakat.

Kasus - Kasus Hukum Perdata Di Indonesia

Tanpa diduga, kita sering dihadapkan oleh berbagai persoalan yang menyangkut masalah perdata. Karena tidak memahaminya dengan baik, banyak yang kemudian merasa kebingungan ketika berniat menyelesaikan persoalan. Ujung-ujungnya, cara yang dipakai adalah dengan menggunakan jasa konsultan hukum atau pengacara. Hal tersebut memang tepat. Namun konsekuensinya adalah Anda akan mengeluarkan biaya yang cukup besar. Berbeda jika Anda terlebih dahulu memahami kasus perdata yang menimpa Anda. Selain bisa membayangkan pemecahannya, Anda bahkan bisa terlebih dulu menghindari bibit masalahnya. Buku Pustaka Grhatama (Galangpress Group) ini membahas empat persoalan umum yang paling sering dihadapi masyarakat Indonesia yang berkaitan dengan hukum perdata seperti masalah perkawinan, agraria (khususnya soal tanah), kontrak kerja, dan jual beli. Dirancang untuk orang-orang yang buta akan hukum perdata, sehingga dimulai dengan mengulas teori hukum perdata secara sederhana, disertai contoh-contoh konkret terhadap masalah hukum perdata berikut juga dengan solusi-solusinya.

Tanpa diduga, kita sering dihadapkan oleh berbagai persoalan yang menyangkut masalah perdata.

Buku Ajar Hukum Perdata Internasional

Buku ajar Hukum Perdata Internasional ini merupakan buku yang membahas tentang hubungan hukum keperdataan secara Internasional. Hukum Perdata Internasional merupakan hukum perdata yang memiliki unsur asing dalam hubungan antara individu satu dengan lainnya atau hubungan antara badan hukum satu dengan lainnya. Adanya unsur asing dalam hubungan hukum keperdataan menyebabkan adanya hukum asing yang berlaku. Buku ini juga menjelaskan bagaimana cara menyelesaikan persoalan hukum perdata yang mempunyai unsur asing, seperti perkawinan beda kewarganegaraan, status kewarganegaraan, perjanjian yang dilakukan oleh orang yang beda warganegara. Sehingga perbuatan hukum tersebut mendapat perlindungan yang adil serta berkepastian hukum bagi Warga Negara Indonesia (WNI) atau bagi Warga Negara Asing (WNA).

Buku ajar Hukum Perdata Internasional ini merupakan buku yang membahas tentang hubungan hukum keperdataan secara Internasional.

Hukum Tata Negara Indonesia

Buku ini diharapkan dapat hadir memberi kontribusi positif dalam ilmu pengetahuan khususnya terkait dengan HUKUM TATA NEGARA INDONESIA. Sistematika Buku HUKUM TATA NEGARA INDONESIA ini memberikan nuansa berbeda yang saling menyempurnakan dari setiap pembahasannya, bukan hanya dari segi konsep yang tertuang secara terperinci, tetapi juga melalui penyampaian contoh penerapan yang sesuai dan mudah dipahami. Sistematika buku “HUKUM TATA NEGARA INDONESIA” ini mengacu pada pendekatan konsep teoritis dan contoh penerapan. Buku ini terdiri atas 12 Bab yang dibahas secara rinci dalam pembahasan, diantaranya: Konsep Negara Hukum, Ilmu Pengetahuan Hukum Tata Negara, Sejarah Ketatanegaraan Indonesia, Sumber-Sumber Hukum Tata Negara, Hierarkhi Peraturan Perundang-Undangan, Asas-Asas Hukum Tata Negara, Lembaga-Lembaga Negara Sebelum Amandemen UUD 1945, Lembaga-Lembaga Negara Sesudah Amandemen UUD 1945, Lembaga-Lembaga Negara Mandiri, Sistem Pemerintahan Daerah di Indonesia, Perkembangan Demokrasi di Indonesia, Perkembangan Hak Asasi Manusia di Indonesia.

Sistematika Buku HUKUM TATA NEGARA INDONESIA ini memberikan nuansa berbeda yang saling menyempurnakan dari setiap pembahasannya, bukan hanya dari segi konsep yang tertuang secara terperinci, tetapi juga melalui penyampaian contoh penerapan ...