Tag: Data

Free Download Data Driven Model Learning for Engineers: With Applications to Univariate Time Series by Guillaume Mercère
English | PDF EPUB (True) | 2023 | 218 Pages | ISBN : 3031316355 | 33 MB
The main goal of this comprehensive textbook is to cover the core techniques required to understand some of the basic and most popular model learning algorithms available for engineers, then illustrate their applicability directly with stationary time series. A multi-step approach is introduced for modeling time series which differs from the mainstream in the literature. Singular spectrum analysis of univariate time series, trend and seasonality modeling with least squares and residual analysis, and modeling with ARMA models are discussed in more detail.

Free Download Correlated Data Analysis: Modeling, Analytics, and Applications by Peter X.-K. Song
English | PDF | 2005 | 356 Pages | ISBN : 0387713921 | 6.7 MB
Thisbook,likemanyotherbooks,wasdeliveredundertremendousinspiration and encouragement from my teachers, research collaborators, and students. My interest in longitudinal data analysis began with a short course taught jointly by K. Y. Liang and S. L. Zeger at the Statistical Society of Canada Conference in Acadia University, Nova Scotia, in the spring of 1993. At that time, I was a ?rst-year PhD student in the Department of Statistics at the University of British Columbia, and was eagerly seeking potential topics for my PhD dissertation. It was my curiosity (driven largely by my terrible c- fusion) with the generalized estimating equations (GEEs) introduced in the short course that attracted me to the ?eld of correlated data analysis. I hope that my experience in learning about it has enabled me to make this book an enjoyable intellectual journey for new researchers entering the ?eld. Thus, the book aims at graduate students and methodology researchers in stat- tics or biostatistics who are interested in learning the theory and methods of correlated data analysis. I have attempted to give a systematic account of regression models and their applications to the modeling and analysis of correlated data. Longitu- nal data, as an important type of correlated data, has been used as a main venue for motivation, methodological development, and illustration throu- out the book. Given the many applied books on longitudinal data analysis – ready available, this book is inclined more towards technical details regarding the underlying theory and methodology used in software-based applications.

Free Download Classification, Clustering, and Data Analysis: Recent Advances and Applications by Krzysztof Jajuga, Andrzej Sokołowski, Hans-Hermann Bock
English | PDF (True) | 2002 | 468 Pages | ISBN : 354043691X | 42.5 MB
The present volume contains a selection of papers presented at the Eighth Conference of the International Federation of Classification Societies (IFCS) which was held in Cracow, Poland, July 16-19, 2002. All originally submitted papers were subject to a reviewing process by two independent referees, a procedure which resulted in the selection of the 53 articles presented in this volume. These articles relate to theoretical investigations as well as to practical applications and cover a wide range of topics in the broad domain of classifi cation, data analysis and related methods. If we try to classify the wealth of problems, methods and approaches into some representative (partially over lapping) groups, we find in particular the following areas: * Clustering * Cluster validation * Discrimination * Multivariate data analysis * Statistical methods * Symbolic data analysis * Consensus trees and phylogeny * Regression trees * Neural networks and genetic algorithms * Applications in economics, medicine, biology, and psychology. Given the international orientation of IFCS conferences and the leading role of IFCS in the scientific world of classification, clustering and data anal ysis, this volume collects a representative selection of current research and modern applications in this field and serves as an up-to-date information source for statisticians, data analysts, data mining specialists and computer scientists.

Free Download Big Data and Security: Second International Conference, ICBDS 2020, Singapore, Singapore, December 20-22, 2020, Revised Selected Papers by Yuan Tian
English | EPUB | 2021 | 665 Pages | ISBN : 9811631492 | 116.4 MB
This book constitutes the refereed proceedings of the Second International Conference on Big Data and Security, ICBDS 2020, held in Singapore, Singapore, in December 2020.

Free Download Artificial Intelligence and Data Science Based R&D Interventions: Proceedings of NERC 2022 by Ratnajit Bhattacharjee, Debanga Raj Neog, Konda Reddy Mopuri, Santosh Kumar Vipparthi
English | PDF EPUB (True) | 2023 | 227 Pages | ISBN : 9819926084 | 44.5 MB
This book title is a composition of multiple research efforts that are based on cutting-edge Artificial Intelligence (AI) techniques. Some of the signal processing problems are addressed with techniques from the broad areas of machine learning and deep learning.

Free Download Advances in Data-Driven Computing and Intelligent Systems: Selected Papers from ADCIS 2022, Volume 1 by Swagatam Das, Snehanshu Saha, Carlos A. Coello Coello, Jagdish Chand Bansal
English | EPUB (True) | 2023 | 885 Pages | ISBN : 9819932491 | 120.7 MB
The volume is a collection of best selected research papers presented at International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2022) held at BITS Pilani, K K Birla Goa Campus, Goa, India during 23 – 25 September 2022. It includes state-of-the art research work in the cutting-edge technologies in the field of data science and intelligent systems. The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book will be useful for academicians, research scholars, and industry persons.

Free Download Advanced Techniques in Knowledge Discovery and Data Mining by Nikhil R. Pal, Lakhmi Jain
English | PDF | 2005 | 264 Pages | ISBN : 1852338679 | 6.4 MB
Data mining and knowledge discovery (DMKD) is a rapidly expanding field in computer science. It has become very important because of an increased demand for methodologies and tools that can help the analysis and understanding of huge amounts of data generated on a daily basis by institutions like hospitals, research laboratories, banks, insurance companies, and retail stores and by Internet users. This explosion is a result of the growing use of electronic media. But what is data mining (DM)? A Web search using the Google search engine retrieves many (really many) definitions of data mining. We include here a few interesting ones. One of the simpler definitions is: "As the term suggests, data mining is the analysis of data to establish relationships and identify patterns" [1]. It focuses on identifying relations in data. Our next example is more elaborate: An information extraction activity whose goal is to discover hidden facts contained in databases. Using a combination of machine learning, statistical analysis, modeling techniques and database technology, data mining finds patterns and subtle relationships in data and infers rules that allow the prediction of future results. Typical applications include market segmentation, customer profiling, fraud detection, evaluation of retail promotions, and credit risk analysis [2].

Free Download Rons Data Gear 2023.9.27.1521 | 16 Mb
Rons Data Gear is a suit of applications designed to handle any CSV or tabular data workloads. The two main products, Rons Data Edit and Rons Data Stream, are complementary applications that can be used either together or individually to handle any volume of data.

Free Download Master Data Science 5-in-1 Projects Data Interview ShowOff
Published 9/2023
Created by Temotec Learning Academy
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 9 Lectures ( 35m ) | Size: 226 MB

Free Download SwiftData – Declarative Data Persistence for SwiftUI
Last updated 9/2023
Duration: 5h38m | Video: .MP4, 1280×720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 1.79 GB
Genre: eLearning | Language: English
Swiftly Persist & Query Data: Declarative Code for Seamless SwiftUI Integration