feat(wiki): 코드 그라운딩 23문서 + MOC 학습지도 39개

- 코드 그라운딩: 기술 주제 문서의 '적용 사례'에 실제 레포 구현 위치
  (file:line)+커밋 자동 주입 (예: 문서 청킹 전략→connectai/src/retrieval/chunker.ts).
  멱등 마커(CODE-GROUNDING)로 재실행 시 갱신.
- MOC: 39개 클러스터 폴더에 _MOC.md 학습지도 생성(진입점+통찰 주석).
도구: Datacollect/scripts/{code_grounding,moc_generator}.mjs

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
This commit is contained in:
2026-06-08 18:56:11 +09:00
parent af11d666d2
commit 95cd8bb891
101 changed files with 11639 additions and 5 deletions
@@ -160,3 +160,17 @@ class TransE(nn.Module):
|---|---|
| 2026-05-08 | Phase 1 |
| 2026-05-10 | Manual cleanup — KG fundamentals, triples, GraphRAG, Neo4j patterns |
## 🛠️ 적용 사례 (Applied in summary)
<!-- CODE-GROUNDING:START -->
### 🔎 코드베이스 근거 (자동 추출 — E:\Wiki 레포)
**실제 구현/사용 위치:**
- `connectai/src/features/projectChronicle/guardPrompt.ts:57` — [Omitted long matching line]
**관련 커밋:**
- `connectai d843364 feat: add premium matrix styling to knowledge graph, glowing nodes, and directional particle flow across synapses`
- `connectai 279e671 feat: parse real workspace files for knowledge graph topology and add organic organic movement`
_자동 생성: code_grounding.mjs · 재실행 시 갱신됨_
<!-- CODE-GROUNDING:END -->
@@ -190,3 +190,13 @@ def align_classes(onto_a_labels, onto_b_labels, threshold=0.85):
|---|---|
| 2026-05-08 | Phase 1 |
| 2026-05-10 | Manual cleanup — Ontology FULL with RDF/OWL/SHACL/GraphRAG patterns |
## 🛠️ 적용 사례 (Applied in summary)
<!-- CODE-GROUNDING:START -->
### 🔎 코드베이스 근거 (자동 추출 — E:\Wiki 레포)
**실제 구현/사용 위치:**
- `connectai/src/features/secondBrainTrace.ts:223` — [Omitted long matching line]
_자동 생성: code_grounding.mjs · 재실행 시 갱신됨_
<!-- CODE-GROUNDING:END -->
@@ -0,0 +1,210 @@
---
id: moc-computer_science_and_theory
title: "Computer_Science_and_Theory — 학습 지도 (MOC)"
category: "MOC"
status: "active"
type: "map-of-content"
tags: ["MOC", "Computer_Science_and_Theory"]
updated_at: 2026-06-08
---
# 🗺️ Computer_Science_and_Theory — 학습 지도 (MOC)
> 이 클러스터의 **147개 문서**에 대한 진입점과 학습 순서. 자동 생성(moc_generator.mjs) — 재실행 시 갱신.
## 📚 전체 문서 (Topics)
> ⚠️ 문서가 많은 클러스터(147개) — 첫 글자별로 묶음. 하위 폴더로 재구성 검토 권장.
### A
- [[Abstract Syntax Tree Transformation]]
- [[Adaptive Curation]]
- [[Additive Type Logic]]
- [[Aesthetic Value]]
- [[Alcoholism]]
- [[Algorithm Complexity (Big O)]]
- [[Atomism]]
- [[Autobiography]]
- [[Autoethnography]]
- [[Automated Decision Making]]
- [[Automated Map Generation]]
- [[Autonomous Vehicle Path Planning]]
- [[Axiology]]
- [[Axiomatic Systems]]
### B
- [[B-Tree]]
- [[BFS vs DFS]]
- [[Biological Inspired Algorithms]]
- [[Black Hole]]
- [[Bloom Filters in Search]]
- [[Brute-force]]
- [[Bubble Sort]]
- [[Burnout Prevention in Professional Gaming]]
### C
- [[Caetextia]]
- [[Chaos Theory in Systems]]
- [[Climate Change Mitigation Frameworks]]
- [[Cognitive Neuroscience of Flow]]
- [[Combinatorial Optimization]]
- [[Computer Science and Theory]]
- [[Control Theory]]
- [[Cross Frequency Coupling (CFC)]]
### D
- [[Decision Theory]]
- [[Determinism in Computing]]
- [[Dijkstra's Algorithm]]
- [[Directed Acyclic Graph Dependency Management]]
- [[Dissipative Structures]]
- [[Dynamic Programming]]
### E
- [[Economic Complexity Index]]
- [[Eigenvalues and Eigenvectors]]
- [[Elite Theory]]
- [[Emergence]]
- [[Emergence in Systems]]
- [[Entropy in Information Theory]]
- [[Ergodic Theory]]
- [[Ethnographic Research]]
- [[Evolutionary Algorithms]]
- [[Expectation Maximization]]
### F
- [[Feedback Control Systems]]
- [[Feedback Loops in Systems]]
- [[Flame Icicle Graph 플레임 고드름 그래프]]
- [[FMEA]]
### G
- [[Geographic Information Systems]]
- [[Gimbals and Orientation]]
- [[Godel's Incompleteness Theorems]]
- [[Graph Coloring Problem]]
- [[Graph Theory]]
- [[Greedy Algorithms]]
- [[Grounded Theory Method]]
### H
- [[Hardware Verification]]
- [[Hash Functions and Maps]]
- [[Hebbian Theory]]
- [[High Frequency Trading Models]]
### I
- [[Incremental Computation]]
- [[Inexact Science]]
- [[Information Entropy]]
- [[Information Retrieval (IR)]]
- [[Information Retrieval Evaluation Metrics]]
- [[Information Theory]]
- [[Inner Product Spaces]]
- [[Issue Tree]]
### K
- [[Kalman Filter and State Tracking]]
- [[Kernel Density Estimation (KDE)]]
- [[Keyword Search]]
- [[Knowledge Graph]]
- [[Knowledge Graph Foundations]]
- [[Knowledge Structure]]
- [[Kolmogorov Complexity]]
- [[Kullback-Leibler Divergence]]
### L
- [[Lagrange Multipliers]]
- [[Least Squares Methods]]
- [[Linear Algebra Foundations]]
- [[Linked Lists and Trees]]
- [[Locality Sensitive Hashing]]
- [[Locality-Sensitive Hashing (LSH)]]
- [[Logic Trees]]
- [[Lubrication]]
### M
- [[Mental Models]]
- [[Model Predictive Control (MPC)]]
- [[Monte Carlo Integration]]
- [[Multivariate Analysis]]
- [[Mutual Information]]
- [[Mutually Exclusive and Collectively Exhaustive (MECE)]]
### N
- [[Neural Ignition]]
- [[Noise]]
### O
- [[Ontology]]
- [[Operations Research]]
- [[Operator Theory]]
- [[Optimal Control Theory]]
- [[Optimization]]
- [[Optimization Algorithms]]
### P
- [[Partial Differential Equations]]
- [[Particle Filter Algorithms]]
- [[PCA and Dimension Reduction]]
- [[Phase Amplitude Coupling]]
- [[PID Controllers in AI]]
- [[Posterior and Prior Probability]]
- [[Principal Component Analysis]]
- [[Principle of Least Action]]
- [[Probability Theory]]
- [[Probability Theory Foundations]]
- [[Problem Solving]]
- [[Profitability Framework]]
### Q
- [[Quantum Computing]]
- [[Quantum Computing (Intro)]]
### R
- [[Ranking Algorithms]]
- [[Regression Analysis Foundations]]
- [[Relevance Feedback]]
- [[Reports]]
- [[Representation Theory]]
- [[Ridge Regression]]
- [[Root Cause Analysis (RCA)]]
- [[Root Mean Square Error]]
- [[Roughness (그래픽 및 물리)]]
### S
- [[Sampling Techniques]]
- [[Semantics & Ontology]]
- [[Signal in Noise]]
- [[Signal Processing Foundations]]
- [[Similarity Metrics]]
- [[Simulated Annealing]]
- [[Singular Value Decomposition (SVD)]]
- [[Social Network Analysis]]
- [[Social Systems Theory]]
- [[Spatial Data Analysis]]
- [[Standard Deviation and Variance]]
- [[Statistical Power]]
- [[Statistics]]
- [[Strategic Thinking]]
- [[Structural Equation Modeling]]
- [[Structured Data]]
- [[Systemic Simulation Principles]]
### T
- [[Theoretical Computer Science]]
- [[Theta Gamma Coupling]]
- [[Turing Machine Foundations]]
### V
- [[VPS-NeRF (Visual Positioning + Neural Radiance Fields)]]
### W
- [[Weak Central Coherence Theory]]
- [[Wicked Problems]]
- [[Working Memory]]
### 가나다
- [[탄도학 및 명중률 알고리즘 (Ballistics and Accuracy Algorithms)]]
_147 docs · 자동 생성 2026-06-08_