頻繁なパターンによる時間概念の関連探求の可視化
Tali Malenboim1, Nir Grinberg1, Robert Moskovitch1
1Software and Information Systems Engineering, Ben-Gurion University of the Negev, Beer Sheva 8410501, Israel.
Patterns (New York, N.Y.)
|August 22, 2025
まとめ
複雑な時間パターンの探索は 挑戦的です PanTeraVは,頻繁な時間パターン (TIRP) の枚挙ツリーを可視化して,以前アクセス不可能なシンボリックタイムインターバル関連のデータ探査と発見を高速化します.
科学分野:
- データ可視化
- データマイニング
- 時間のパターン分析
背景:
- 伝統的な時間パターンの可視化は,単一のパターンを重視し,複雑な列挙ツリーを無視しています.
- データサイエンティストにとって 大規模な時間パターンの探索は 重要な課題です
研究 の 目的:
- パンテラVは,複雑な時間パターンの大きな数え木を探索するための新しい視覚化システムです.
- ユーザが選択したシンボリックな時間間隔に基づいてパターンの双方向探索を可能にします.
主な方法:
- パンテラVは,シンボリックな時間間隔をナビゲートするためのテーブルビューとパターンメトリックのためのグラフィカルバブルチャートで,2つのリンクされたビジュアライゼーションを開発しました.
- リアルなデータセットでタイムインターバル関連パターン (TIRP) を使用してPanTeraVを実証した.
主要な成果:
- PanTeraVは既存の方法と比較して 時間のパターンをより速く探求することを可能にします
- シンボリックな時間間隔の間の関連が発見されました.
結論:
- パンテラVは 複雑な時間パターンの 統計的・分析的探査を強化します
- このシステムは,データサイエンティストが大きな数え木内の関連するパターンを特定するのをサポートします.
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