| Description |
1 online resource (xxxi, 332 pages) : illustrations, maps |
|
text txt rdacontent |
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computer c rdamedia |
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online resource cr rdacarrier |
| Physical Medium |
polychrome. rdacc http://rdaregistry.info/termList/RDAColourContent/1003 |
| Description |
text file rdaft http://rdaregistry.info/termList/fileType/1002 |
| Bibliography |
Includes bibliographical references and index. |
| Note |
Print version record. |
| 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. |
| Summary |
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. * Serves as a valuable reference tool for both the student and the law enforcement professional * Contains practical information used in real-life law enforcement situations * Approach is very user-friendly, conveying sophisticated analyses in practical terms |
| Language |
English. |
| Subject |
Crime analysis.
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Data mining.
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Law enforcement -- Data processing.
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Criminal behavior, Prediction of.
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Data Mining |
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Criminalité -- Analyse.
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Exploration de données (Informatique)
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Lois -- Application -- Informatique.
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LAW -- Forensic Science.
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Crime analysis
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Criminal behavior, Prediction of
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Data mining
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Law enforcement -- Data processing
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| Genre/Form |
dissertations.
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Academic theses
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Academic theses.
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Thèses et écrits académiques.
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| Other Form: |
Print version: McCue, Colleen. Data mining and predictive analysis. Amsterdam ; Boston : Butterworth-Heinemann, ©2007 0750677961 9780750677967 (DLC) 2006040568 (OCoLC)67392931 |
| ISBN |
9780080464626 (electronic bk.) |
|
0080464629 (electronic bk.) |
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0750677961 |
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9780750677967 |
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1280636505 |
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9781280636509 |
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9786610636501 |
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6610636508 |
|
9780750677967 |
| Standard No. |
9780750677967 |
|
AU@ 000051556291 |
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CHNEW 001004967 |
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DEBBG BV042314147 |
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DEBBG BV043135554 |
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DEBSZ 36774998X |
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DEBSZ 422245623 |
|
GBVCP 560396732 |
|
NZ1 11778167 |
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NZ1 14540022 |
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NZ1 15189201 |
|
