Data Mining and Predictive Analysis Intelligence Gathering and Crime Analysis

Name: Data Mining and Predictive Analysis Intelligence Gathering and Crime Analysis
Price: 7.26 USD
Availability: InStock
ISBN: 9780750677967

ISBN-10: 0750677961

ISBN-13: 9780750677967

Edition: 2007

Authors: Colleen McCue

List price: $67.95

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Description:

Data Mining and Predictive Analysis contains a comprehensive overview of data mining and predictive analytics in crime and intelligence analysis, and underscores the benefits of increased use of data mining among government and law enforcement agencies. Covering such topics as how to map criminal acts, detect possible patterns, and use predictive tools to prevent future crimes and/or terrorist acts from occurring, the books cuts through the technical language of other books on data mining, making it a useful training tool for new officers and agents entering the field. The book is written as a primer for those with little formal statistical training, but assumes knowledge of crime and…

Book details

List price: $67.95
Copyright year: 2007
Publisher: Elsevier Science & Technology
Publication date: 10/17/2006
Binding: Paperback
Pages: 368
Size: 7.50" wide x 9.25" long x 0.82" tall
Weight: 1.936
Language: English

Dr. Colleen McCue is the Senior Director of Social Science and Quantitative Methods at DigitalGlobe. Her areas of expertise within , in the applied public safety and national security environment include the application of data mining and predictive analytics to the analysis of crime and intelligence data, with particular emphasis on deployment strategies; surveillance detection; threat and vulnerability assessment; geospatial predictive analytics; computational modeling and visualization of human behavior; Human, Social, Culture and Behavior (HSCB) modeling and analysis; crisis and conflict mapping; and the behavioral analysis of violent crime in support of anticipation and influence.



Foreword


Preface


Introduction


Introductory Section



Basics



Basic Statistics



Inferential versus Descriptive Statistics and Data Mining



Population versus Samples



Modeling



Errors



Overfitting the Model



Generalizability versus Accuracy



Input/Output



Bibliography



Domain Expertise



Domain Expertise



Domain Expertise for Analysts



Compromise



Analyze Your Own Data



Bibliography



Data Mining



Discovery and Prediction



Confirmation and Discovery



Surprise



Characterization



"Volume Challenge"



Exploratory Graphics and Data Exploration



Link Analysis



Nonobvious Relationship Analysis (NORA)



Text Mining



Future Trends



Bibliography


Methods



Process Models for Data Mining and Analysis



CIA Intelligence Process



CRISP-DM



Actionable Mining and Predictive Analysis for Public Safety and Security



Bibliography



Data



Getting Started



Types of Data



Data



Types of Data Resources



Data Challenges



How Do We Overcome These Potential Barriers?



Duplication



Merging Data Resources



Public Health Data



Weather and Crime Data



Bibliography



Operationally Relevant Preprocessing



Operationally Relevant Recoding



Trinity Sight



Duplication



Data Imputation



Telephone Data



Conference Call Example



Internet Data



Operationally Relevant Variable Selection



Bibliography



Predictive Analytics



How to Select a Modeling Algorithm, Part I



Generalizability versus Accuracy



Link Analysis



Supervised versus Unsupervised Learning Techniques



Discriminant Analysis



Unsupervised Learning Algorithms



Neural Networks



Kohonan Network Models



How to Select a Modeling Algorithm, Part II



Combining Algorithms



Anomaly Detection



Internal Norms



Defining "Normal"



Deviations from Normal Patterns



Deviations from Normal Behavior



Warning! Screening versus Diagnostic



A Perfect World Scenario



Tools of the Trade



General Considerations and Some Expert Options



Variable Entry



Prior Probabilities



Costs



Bibliography



Public Safety-Specific Evaluation



Outcome Measures



Think Big



Training and Test Samples



Evaluating the Model



Updating or Refreshing the Model



Caveat Emptor



Bibliography



Operationally Actionable Output



Actionable Output


Applications



Normal Crime



Knowing Normal



"Normal" Criminal Behavior



Get to Know "Normal" Crime Trends and Patterns



Staged Crime



Bibliography



Behavioral Analysis of Violent Crime



Case-Based Reasoning



Homicide



Strategic Characterization



Automated Motive Determination



Drug-Related Violence



Aggravated Assault



Sexual Assault



Victimology



Moving from Investigation to Prevention



Bibliography



Risk and Threat Assessment



Risk-Based Deployment



Experts versus Expert Systems



"Normal" Crime



Surveillance Detection



Strategic Characterization



Vulnerable Locations



Schools



Data



Accuracy versus Generalizability



"Cost" Analysis



Evaluation



Output



Novel Approaches to Risk and Threat Assessment



Bibliography


Case Examples



Deployment



Patrol Services



Structuring Patrol Deployment



Data



How To



Tactical Deployment



Risk-Based Deployment Overview



Operationally Actionable Output



Risk-Based Deployment Case Studies



Bibliography



Surveillance Detection



Surveillance Detection and Other Suspicious Situations



Natural Surveillance



Location, Location, Location



More Complex Surveillance Detection



Internet Surveillance Detection



How To



Summary



Bibliography


Advanced Concepts and Future Trends



Advanced Topics



Intrusion Detection



Identify Theft



Syndromic Surveillance



Data Collection, Fusion and Preprocessing



Text Mining



Fraud Detection



Consensus Opinions



Expert Options



Bibliography



Future Trends



Text Mining



Fusion Centers



"Functional" Interoperability



"Virtual" Warehouses



Domain-Specific Tools



Closing Thoughts



Bibliography


Index