তহবিল সংগ্রহ ১৫ সেপ্টেম্বর 2024 – ১লা অক্টোবর 2024 তহবিল সংগ্রহের বিষয়ে

Time Series Clustering and Classification

Main
Computers - Computer Science
Time Series Clustering and...

Time Series Clustering and Classification

Elizabeth Ann Maharaj, Pierpaolo D'Urso, Jorge Caiado

0 / 0

এই বইটি আপনার কতটা পছন্দ?

ফাইলের মান কিরকম?

মান নির্ণয়ের জন্য বইটি ডাউনলোড করুন

ডাউনলোড করা ফাইলগুলির মান কিরকম?

ক্যাটাগোরিগুলো:

Computers - Computer Science

সাল:

2019

সংস্করণ:

1

প্রকাশক:

Chapman and Hall/CRC

ভাষা:

english

পৃষ্ঠা:

244

ISBN 10:

1498773214

ISBN 13:

9781498773218

বইয়ের সিরিজ:

Chapman & Hall/CRC Computer Science & Data Analysis

ফাইল:

PDF, 4.85 MB

IPFS:

,

english, 2019

অনলাইনে পড়া

তে রূপান্তর প্রক্রিয়া চলছে

-এ রূপান্তর ব্যর্থ হয়েছে

আপনি আগ্রহী হতে পারেন

Michael Greenacre, Jorg Blasius — Multiple Correspondence Analysis and Related Methods (Chapman & Hall CRC Statistics in the Social and Behavioral Scie)

New Era — Time Series Forecasting using Python

Galit Shmueli — Practical Time Series Forecasting: A Hands-On Guide [2nd Edition]

Alboukadel Kassambara — Practical Guide to Cluster Analysis in R. Unsupervised Machine Learning

M. B. Priestley — Non-linear and Non-stationary Time Series Analysis

Lawrence Rabiner, Biing-Hwang Juang — Fundamentals of Speech Recognition

Anil K. Jain, Richard C. Dubes — Algorithms for clustering data

David McDowall; Richard McCleary; Bradley J. Bartos — Interrupted Time Series Analysis

William W.S. Wei — Time Series Analysis : Univariate and Multivariate Methods (2nd Edition)

Scutari, Marco, Denis, Jean-Baptiste — Bayesian Networks: With Examples in R (Chapman & Hall/CRC Texts in Statistical Science)

Himansu Das (editor), Jitendra Kumar Rout (editor), Suresh Chandra Moharana (editor), Nilanjan Dey (editor) — Applied Intelligent Decision Making in Machine Learning

Taylor & Francis Group — Recent Advances in Time Series Forecasting

Brian J. Reich, Sujit K. Ghosh — Bayesian Statistical Methods

Wilfredo Palma — Long-Memory Time Series: Theory and Methods

Richard Harris, Robert Sollis — Applied time series modelling and forecasting

Peter Bloomfield — Fourier Analysis of time series an introduction

John Shawe-Taylor, Nello Cristianini — Kernel Methods for Pattern Analysis

Athanasopoulos, George; Hyndman, Rob J. — Forecasting: Principles and Practice

Donald B. Percival, Andrew T. Walden — Spectral Analysis for Univariate Time Series

Charles Bouveyron; Gilles Celeux; T. Brendan Murphy; Adrian E. Raftery — Model-Based Clustering and Classification for Data Science: With Applications in R

Palma, Wilfredo — Time series analysis

Christian H. Weiss — An Introduction to Discrete-Valued Time Series

Hassler, Uwe — Time series analysis with long memory in view

Sourav De (editor), Sandip Dey (editor), Siddhartha Bhattacharyya (editor) — Recent Advances in Hybrid Metaheuristics for Data Clustering

Bozeman, James R.; Skiadas, Christos — Data analysis and applications 1, Clustering and regression, modeling-estimating, forecasting and data mining

Francesca Lazzeri — Machine Learning for Time Series Forecasting with Python

Chris Chatfield, Haipeng Xing — The Analysis of Time Series: An Introduction with R

Leo Breiman — Classification and Regression Trees

Jim Albert; Jingchen Hu — Probability and Bayesian Modeling

Abdelmonem Afifi, Virginia A Clark, Robin A Donatello, Susanne May — Practical multivariate analysis

Ashok Srivastava, Mehran Sahami — Text Mining: Classification, Clustering, and Applications

David Skillicorn — Knowledge Discovery for Counterterrorism and Law Enforcement

Charu C. Aggarwal, Chandan K. Reddy — Data Clustering: Algorithms and Applications

Peter J. Diggle — Statistical Analysis of Spatial and Spatio-Temporal Point Patterns, Third Edition

Wendy L. Martinez, Angel R. Martinez — Computational Statistics Handbook with MATLAB

Casals, Jose — State-space methods for time series analysis : theory, applications and software

Miguel A. Martinez-Beneito, Paloma Botella-Rocamora — Disease Mapping: From Foundations to Multidimensional Modeling

Ankur A. Patel — Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data

Pratyay Kuila, Prasanta K. Jana — Clustering and Routing Algorithms for Wireless Sensor Networks: Energy Efficiency Approaches

Elizabeth Ann Maharaj, Pierpaolo D'Urso, Jorge Caiado — Time Series Clustering and Classification

N.D. Lewis — Neural Networks for Time Series Forecasting with R

Walter Zucchini, Iain L. MacDonald — Hidden Markov Models for Time Series: An Introduction Using R

প্রায়শই ব্যবহৃত পরিভাষা