{"id":22457487,"url":"https://github.com/sadmanca/mermaid-test","last_synced_at":"2026-02-07T09:32:35.000Z","repository":{"id":206914952,"uuid":"717977749","full_name":"sadmanca/mermaid-test","owner":"sadmanca","description":null,"archived":false,"fork":false,"pushed_at":"2024-11-07T03:30:42.000Z","size":5,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-08-04T12:29:32.033Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/sadmanca.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2023-11-13T05:10:58.000Z","updated_at":"2024-11-07T03:30:46.000Z","dependencies_parsed_at":"2023-11-13T06:25:07.529Z","dependency_job_id":"610ef8a8-df68-4501-ad86-b8aceb0129f7","html_url":"https://github.com/sadmanca/mermaid-test","commit_stats":null,"previous_names":["sadmanca/cron-test","sadmanca/mermaid-test"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/sadmanca/mermaid-test","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sadmanca%2Fmermaid-test","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sadmanca%2Fmermaid-test/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sadmanca%2Fmermaid-test/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sadmanca%2Fmermaid-test/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/sadmanca","download_url":"https://codeload.github.com/sadmanca/mermaid-test/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sadmanca%2Fmermaid-test/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29191405,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-07T07:37:03.739Z","status":"ssl_error","status_checked_at":"2026-02-07T07:37:03.029Z","response_time":63,"last_error":"SSL_connect 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--\u003e B2[Tracks progress or transitions]\n    C --\u003e C1[Likelihood of moving between states]\n    C --\u003e C2[Single time-step transition]\n    D --\u003e D1[Matrix format]\n    D --\u003e D2[Sum of probabilities = 1 for each state]\n\n```\n\n---\n\n## `figure_1.1-2.txt`\n```mermaid\ngraph TD\n    M[Markov Chains] --\u003e S[State]\n    M --\u003e TP[Transition Probability]\n    M --\u003e TM[Transition Matrix]\n    S --\u003e |Describes condition| SC1[Tracks system status]\n    TP --\u003e |Governs movement| TPC1[Probability between states]\n    TM --\u003e |Defines probabilities| TMC1[Matrix structure]\n    TMC1 --\u003e |Each row sums to 1| TMC2[Valid probability distribution]\n\n```\n\n---\n\n## `figure_1.1-3.txt`\n```mermaid\nsequenceDiagram\n    participant System\n    participant StateA\n    participant StateB\n    participant TransitionMatrix\n    System-\u003e\u003eStateA: Begin in State A\n    StateA-\u003e\u003eTransitionMatrix: Reference probabilities\n    TransitionMatrix--\u003e\u003eStateB: Transition Probability to State B\n    StateB-\u003e\u003eTransitionMatrix: Lookup next transition\n\n```\n\n---\n\n## `figure_2.1-1.txt`\n```mermaid\nflowchart TD\n    A[Bayesian Networks] --\u003e B[Risk Analysis]\n    B --\u003e C[Probabilistic Relationships]\n    C --\u003e D[Model Dependencies and Uncertainties]\n    D --\u003e E[Assess and Analyze Risks]\n\n```\n\n---\n\n## `figure_2.1-2.txt`\n```mermaid\ngraph TD\n    A[Bayesian Network]\n    A --\u003e B[Node: Variable Representation]\n    A --\u003e C[Edge: Conditional Dependencies]\n    B --\u003e D[Probabilistic Relationships]\n    C --\u003e D\n\n```\n\n---\n\n## `figure_2.1-3.txt`\n```mermaid\ngraph TD\n    Weather((Weather))\n    Season((Season))\n    Rain((Rain))\n    Sprinkler((Sprinkler))\n    WetGrass((Wet Grass))\n    Traffic((Traffic))\n    Accident((Accident))\n    \n    Season --\u003e Weather\n    Weather --\u003e Rain\n    Weather --\u003e Sprinkler\n    Rain --\u003e WetGrass\n    Sprinkler --\u003e WetGrass\n    Rain --\u003e Traffic\n    Traffic --\u003e Accident\n    WetGrass --\u003e Accident\n```\n\n---\n\n## `figure_3.1-1.txt`\n```mermaid\nflowchart TD\n    A[Time Series Forecasting] --\u003e B[Univariate Forecasting]\n    A --\u003e C[Multivariate Forecasting]\n    A --\u003e D[Long-Term Forecasting]\n    \n    B --\u003e B1[Single Variable Analysis for Economic Indicators]\n    B --\u003e B2[Weather Forecasting Based on Specific Parameters]\n    B --\u003e B3[Sales Predictions Using Historical Sales Data]\n    \n    C --\u003e C1[Market Basket Analysis in Retail]\n    C --\u003e C2[Economic Forecasting Using Multiple Indicators]\n    C --\u003e C3[Predicting Stock Prices with Influencing Factors]\n    \n    D --\u003e D1[Climate Change Studies]\n    D --\u003e D2[Economic Growth Projections]\n    D --\u003e D3[Population Growth Predictions]\n\n```\n\n---\n\n## `figure_3.1-2.txt`\n```mermaid\ngraph TD\n    TS[Time Series Forecasting] --\u003e UV[Univariate Forecasting]\n    TS --\u003e MV[Multivariate Forecasting]\n    TS --\u003e LT[Long-Term Forecasting]\n    \n    UV --\u003e UV1[Examples]\n    UV1 --\u003e UV2[Single Variable for Economic Indicators]\n    UV1 --\u003e UV3[Weather Forecasting on Specific Parameters]\n    UV1 --\u003e UV4[Sales Predictions Using Historical Data]\n    \n    MV --\u003e MV1[Examples]\n    MV1 --\u003e MV2[Market Basket Analysis in Retail]\n    MV1 --\u003e MV3[Economic Forecasting with Multiple Indicators]\n    MV1 --\u003e MV4[Stock Price Predictions]\n    \n    LT --\u003e LT1[Examples]\n    LT1 --\u003e LT2[Climate Change Studies]\n    LT1 --\u003e LT3[Economic Growth Projections]\n    LT1 --\u003e LT4[Population Growth Predictions]\n\n```\n\n---\n\n## `figure_3.1-3.txt`\n```mermaid\nsequenceDiagram\n    participant User as User\n    participant System as Forecasting System\n    participant Data as Historical Data\n\n    User-\u003e\u003eSystem: Request Forecast\n    System-\u003e\u003eData: Retrieve Historical Data\n    Data--\u003e\u003eSystem: Provide Data\n    System-\u003e\u003eSystem: Analyze Trends, Patterns, Seasonality\n    System--\u003e\u003eUser: Provide Forecast\n    Note over User,System: Types of Forecasting\n    User-\u003e\u003eSystem: Choose Univariate, Multivariate, or Long-Term\n\n```\n\n---\n\n## `figure_3.2-1.txt`\n```mermaid\nflowchart TD\n    A[Time Series Forecasting] --\u003e B[Analyze Historical Data]\n    B --\u003e C[Identify Trends]\n    B --\u003e D[Analyze Seasonality]\n    B --\u003e E[Residuals Analysis]\n    C --\u003e C1[Increasing, Decreasing, or Constant Trends]\n    C --\u003e C2[Smoothing Techniques]\n    C --\u003e C3[Detrending Techniques]\n    D --\u003e D1[Daily, Weekly, Monthly Patterns]\n    D --\u003e D2[Seasonal Decomposition]\n    D --\u003e D3[Seasonal Adjustment]\n    E --\u003e E1[Analyze Residuals for Randomness]\n    E --\u003e E2[ACF \u0026 PACF Analysis]\n    E --\u003e E3[Model Diagnostics and Validation]\n\n```\n\n---\n\n## `figure_3.2-2.txt`\n```mermaid\ngraph TB\n    A[Time Series Forecasting] --\u003e B[Trend Analysis]\n    A --\u003e C[Seasonality Analysis]\n    A --\u003e D[Residuals Analysis]\n    \n    B --\u003e B1[Identifies Trends]\n    B1 --\u003e B2[Uses Smoothing Techniques]\n    B1 --\u003e B3[Uses Detrending Techniques]\n    \n    C --\u003e C1[Detects Regular Patterns]\n    C1 --\u003e C2[Seasonal Decomposition]\n    C1 --\u003e C3[Seasonal Adjustment]\n\n    D --\u003e D1[Assesses Model Fit]\n    D1 --\u003e D2[ACF \u0026 PACF Analysis]\n    D1 --\u003e D3[Diagnostics and Validation]\n\n```\n\n---\n\n## `figure_3.2-3.txt`\n```mermaid\nsequenceDiagram\n    participant User\n    participant Data\n    participant ForecastModel\n\n    User-\u003e\u003eData: Obtain Historical Data\n    Data-\u003e\u003eForecastModel: Feed Data for Analysis\n    ForecastModel-\u003e\u003eUser: Trend Analysis\n    ForecastModel-\u003e\u003eUser: Identifies Seasonality\n    ForecastModel-\u003e\u003eUser: Residuals Analysis\n    User-\u003e\u003eForecastModel: Validate with Diagnostics\n    ForecastModel-\u003e\u003eUser: Provides Final Forecast\n\n```\n\n---\n\n## `figure_4-1.txt`\n```mermaid\nflowchart TD\n    A[Big Data Analytics \u0026 Machine Learning] --\u003e B[Risk Analysis]\n    A --\u003e C[Benefits]\n    A --\u003e D[Challenges]\n    \n    B --\u003e E[Analyze historical data]\n    B --\u003e F[Identify risk factors]\n    B --\u003e G[Predict future trends]\n    B --\u003e H[Optimize risk management]\n    \n    C --\u003e I[Accurate risk assessments]\n    C --\u003e J[Faster decision-making]\n    C --\u003e K[Automation of tasks]\n    \n    D --\u003e L[Data quality issues]\n    D --\u003e M[Interpretability challenges]\n    D --\u003e N[Need for domain expertise]\n    \n    E --\u003e O{Algorithms}\n    O --\u003e P[Random Forest]\n    O --\u003e Q[Gradient Boosting]\n    O --\u003e R[Neural Networks]\n\n```\n\n---\n\n## `figure_4-2.txt`\n```mermaid\nsequenceDiagram\n    participant BigDataAnalytics as Big Data Analytics\n    participant MLAlgorithms as Machine Learning Algorithms\n    participant RiskAnalysis as Risk Analysis\n    participant Benefits as Benefits\n    participant Challenges as Challenges\n    \n    BigDataAnalytics -\u003e\u003e MLAlgorithms: Provide large datasets\n    MLAlgorithms -\u003e\u003e RiskAnalysis: Use algorithms (Random Forest, Gradient Boosting, Neural Networks)\n    RiskAnalysis -\u003e\u003e Benefits: Improved accuracy, faster decisions, automation\n    RiskAnalysis -\u003e\u003e Challenges: Data quality, model interpretability, domain expertise\n\n```\n\n---\n\n## `figure_4-3.txt`\n```mermaid\nstateDiagram-v2\n    [*] --\u003e BigDataAnalytics\n    BigDataAnalytics --\u003e MLAlgorithms\n    MLAlgorithms --\u003e RiskAnalysis\n    RiskAnalysis --\u003e Benefits\n    RiskAnalysis --\u003e Challenges\n    \n    state Benefits {\n        Accurate_Risk_Assessments\n        Faster_Decision_Making\n        Automation_of_Tasks\n    }\n    \n    state Challenges {\n        Data_Quality_Issues\n        Model_Interpretability\n        Domain_Expertise\n    }\n    \n    state MLAlgorithms {\n        Random_Forest\n        Gradient_Boosting\n        Neural_Networks\n    }\n\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsadmanca%2Fmermaid-test","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsadmanca%2Fmermaid-test","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsadmanca%2Fmermaid-test/lists"}