Data Mining and Predictive Analysis: Intelligence Gathering and Crime Analysis (Paperback) (資料探勘與預測分析：情報蒐集與犯罪分析)

Colleen McCue Ph.D. Experimental Psychology

Data Mining and Predictive Analysis: Intelligence Gathering and Crime Analysis (Paperback)
  • 出版商: Butterworth-Heineman
  • 出版日期: 2006-09-01
  • 定價: $2,160
  • 售價: 6.0 折 $1,296
  • 語言: 英文
  • 頁數: 368
  • 裝訂: Paperback
  • ISBN: 0750677961
  • ISBN-13: 9780750677967
  • 相關分類: Data-mining、Machine Learning

    • 立即出貨(限量) (庫存=1)

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Description  

It is now possible to predict the future when it comes to crime. In Data Mining and Predictive Analysis, Dr. Colleen McCue describes not only the possibilities for data mining to assist law enforcement professionals, but also provides real-world examples showing how data mining has identified crime trends, anticipated community hot-spots, and refined resource deployment decisions. In this book Dr. McCue describes her use of "off the shelf" software to graphically depict crime trends and to predict where future crimes are likely to occur. Armed with this data, law enforcement executives can develop "risk-based deployment strategies," that allow them to make informed and cost-efficient staffing decisions based on the likelihood of specific criminal activity.

Knowledge of advanced statistics is not a prerequisite for using Data Mining and Predictive Analysis. The book is a starting point for those thinking about using data mining in a law enforcement setting. It provides terminology, concepts, practical application of these concepts, and examples to highlight specific techniques and approaches in crime and intelligence analysis, which law enforcement and intelligence professionals can tailor to their own unique situation and responsibilities.

 

Table of Contents

Introductory Section
Chapter 1: Basics
Chapter 2: Domain Expertise
Chapter 3: Data mining

Methods
Chapter 4: Process Models for Data Mining and Analysis
Chapter 5: Data
Chapter 6: Operationally-relevant preprocessing
Chapter 7: Identification, Characterization and Modeling
Chapter 8: Evaluation
Chapter 9: Operationally-Actionable Output

Applications
Chapter 10: “Normal” Crime
Chapter 11: Behavioral Analysis of Violent Crime
Chapter 12: Risk and Threat Assessment

Case Examples
Chapter 13: Deployment
Chapter 14: Surveillance Detection

Advanced Concepts and Future Trends
Chapter 15: Advanced Concepts in Data Mining
Chapter 16: Future Trends

商品描述(中文翻譯)

在《資料探勘與預測分析》一書中，Colleen McCue博士描述了資料探勘在協助執法專業人員方面的可能性，並提供了實際案例，展示了資料探勘如何識別犯罪趨勢、預測社區熱點，以及優化資源配置決策。McCue博士在書中描述了她使用「現成軟體」來圖形化呈現犯罪趨勢並預測未來犯罪可能發生的地點。憑藉這些資料，執法高層可以制定「基於風險的部署策略」，根據特定犯罪活動的可能性做出明智且節省成本的人員配置決策。

對於使用《資料探勘與預測分析》的人來說，不需要先備的高級統計知識。這本書是那些考慮在執法環境中使用資料探勘的人的起點。它提供術語、概念、這些概念的實際應用以及示例，以突出犯罪和情報分析中的特定技術和方法，執法和情報專業人員可以根據自己獨特的情況和責任進行調整。

目錄：
- 前言部分
- 第1章：基礎知識
- 第2章：領域專業知識
- 第3章：資料探勘
- 方法
- 第4章：資料探勘和分析的流程模型
- 第5章：資料
- 第6章：與操作相關的預處理
- 第7章：識別、特徵化和建模
- 第8章：評估
- 第9章：操作性可行的輸出
- 應用
- 第10章：「正常」犯罪
- 第11章：暴力犯罪的行為分析
- 第12章：風險和威脅評估
- 案例示例
- 第13章：部署
- 第14章：監視檢測
- 高級概念和未來趨勢
- 第15章：資料探勘的高級概念
- 第16章：未來趨勢

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