時系列データ解析

Protected: Apache Spark’s processing model for distributed data processing

Used for digital transformation artificial intelligence and machine learning tasks Apache Spark's processing model (Executor, Task, Scheduler, Driver Program, Master Node, Worker Node, Spark Standalone, Mesos, Hadoop, HFDS, YARN, Partitions, RDD, Transformations, Actions, Resillient Distributed Dataset)

2022.11.14

IOT技術:IOT TechnologypythonRStream Data Processingweb技術:web technologyデータベース技術:DataBase Technologyユーザーインターフェース/データビジュアライゼーション時系列データ解析非同期/並行処理:Asynchronous/parallel processing

Hierarchical Temporal Memory and Clojure

Deep learning with hierarchical temporal memory and sparse distributed representation with Clojure for digital transformation (DX), artificial intelligence (AI), and machine learning (ML) tasks

2022.11.02

Clojurepythonアルゴリズム:Algorithmsグラフ理論スパースモデリングスパースモデリング微分積分:Calculus時系列データ解析最適化:Optimization機械学習:Machine Learning深層学習:Deep Learning確率・統計:Probability and Statistics線形代数:Linear Algebra

Protected: Analysis of time series data using Clojure

Analysis of time series data such as AR, MA, ARMA, etc. using Clojure for digital transformation, artificial intelligence machine learning tasks ACF, PACF, Partial Autocorrelation, Durbin-Levinson algorithm, autocovariance, moving average models, autocorrelation models, hybrid, random walk, discrete-time models

2022.10.18

Clojureアルゴリズム:Algorithms微分積分:Calculus時系列データ解析最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics線形代数:Linear Algebra集合論:Set theory

Extraction of tabular data from the Web and documents and semantic annotation (SemTab) learning

Extraction of tabular data from the Web and documents and semantic annotation learning, one of the data extraction tasks utilized in digital transformation, artificial intelligence, and machine learning tasks, with a focus on the ISWC workshop SemTab

2022.08.13

web技術:web technologyデータベース技術:DataBase Technologyユーザーインターフェース/データビジュアライゼーション地理空間情報処理時系列データ解析

Protected: Reconstructing the shape of celestial objects from time series data – Temporal Astronomy

Reconstruct the shape of celestial objects (V455 Andromeda, accretion disk structure, white dwarf) from time series data using Bayesian inference.

2022.08.05

IOT技術:IOT Technologyアルゴリズム:Algorithmsベイズ推定地理空間情報処理推論技術:inference Technology時系列データ解析機械学習:Machine Learning深層学習:Deep Learning

Protected: Sequential learning using SVM

Overview of algorithms for sequential learning by adding/removing training examples using SVMs in support vector machines utilized for digital transformation, artificial intelligence, and machine learning tasks.

2022.07.22

Stream Data Processingアルゴリズム:Algorithmsオンライン学習微分積分:Calculus時系列データ解析最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics線形代数:Linear Algebra

Protected: Causal Inference with VAR Models (2)Multivariate Autoregressive (VAR) Models and Causal Inference with VAR Models

Multivariate autoregressive models (VAR models) and causal estimation using VARs in time series data analysis with state space models utilized in digital transformation, artificial intelligence and machine learning tasks

2022.07.14

IOT技術:IOT TechnologyStream Data Processingアルゴリズム:Algorithms微分積分:Calculus推論技術:inference Technology時系列データ解析機械学習:Machine Learning異常検知・変化検知確率・統計:Probability and Statistics線形代数:Linear Algebra

Protected: Causal Inference with VAR Model (1) Interpolation of missing data and DF and ADF tests

Overview of multivariate autoregressive models for finding causal relationships between two time series data in time series data analysis using state space models for digital transformation, artificial intelligence, and machine learning tasks, and completion of missing data using R and DF and ADF tests

2022.07.07

IOT技術:IOT TechnologyStream Data Processing微分積分:Calculus推論技術:inference Technology時系列データ解析最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics線形代数:Linear Algebra

Protected: Partitioning Methods in Support Vector Machines (2) DCDM Algorithm for Linear SVM

DCDM algorithm (dual coordinate descent method algorithm), an efficient algorithm for processing large amounts of (sparse) data on support vector machines (algorithm for linear SVM used in LIBLINEAR) used in digital transformation (DX), artificial intelligence (AI) and machine learning (ML) tasks.

2022.07.01

アルゴリズム:Algorithmsグラフ理論微分積分:Calculus時系列データ解析最適化:Optimization機械学習:Machine Learning画像認識技術異常検知・変化検知確率・統計:Probability and Statistics自然言語処理:Natural Language Processing

Protected: Applications of State Space Models to Marketing

Application to marketing using evolution and evolution in time-series data analysis using state-space models utilized in digital transformation, artificial intelligence, and machine learning tasks.

2022.06.30

IOT技術:IOT TechnologyRStream Data Processing時系列データ解析機械学習:Machine Learning確率・統計:Probability and Statistics