Predictive policing: the role of crime forecasting in law enforcement operations
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Santa Monica, CA
RAND
[2013]
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | Includes bibliographical references Predictive policing is the use of analytical techniques to identify targets for police intervention with the goal of preventing crime, solving past crimes, or identifying potential offenders and victims. These tools are not a substitute for integrated approaches to policing, nor are they a crystal ball. This guide assesses some of the most promising technical tools and tactical approaches for acting on predictions in an effective way Cover; Title Page; Copyright; Preface; Contents; Figures; Tables; Summary; Acknowledgments; Abbreviations; CHAPTER ONE: Introduction; What Is Predictive Policing?; A Criminological Justification for Predictive Policing: Why Crime Is "Predictable"; A Brief History of Predictive Policing; Background; Training; Study Objectives and Methods; Objectives; Approach; The Nature of Predictive Policing: This Is Not Minority Report; A Taxonomy of Predictive Methods; Prediction-Led Policing Processes and Practices; Data Collection; Analysis; Police Operations; Criminal Response; About This Report CHAPTER TWO: Making Predictions About Potential CrimesNotes on Software; Hot Spot Analysis and Crime Mapping; Grid Mapping; Covering Ellipses; Single and Dual Kernel Density Estimation; Heuristic Methods; Regression Methods; Types of Relationships; Selecting Input Variables; Leading Indicators in Regression (and Other) Models; A Regression Example; Data Mining (Predictive Analytics); Clustering; Classification; Training and Testing a Model; Near-Repeat Methods; Spatiotemporal Analysis; Basics of Spatiotemporal Analysis; Heat Maps; Spatiotemporal Modeling Using the Generalized Additive Model SeasonalityRisk Terrain Analysis; A Heuristic Approach: Risk Terrain Modeling; A Statistical Approach to Risk Terrain Analysis; Discussion of Risk Terrain Analysis Approaches; Prediction Methods; CHAPTER THREE: Using Predictions to Support Police Operations; Evidence-Based Policing; Taking Action on Hot Spots in Washington, D.C.; Koper Curve Application in Sacramento; Investigating Convenience Store Robberies in Chula Vista, California; Predictive Policing in Context: Case Studies; Shreveport, Louisiana: Predictive Intelligence-Led Operational Targeting Memphis, Tennessee: Crime Reduction Utilizing Statistical HistoryNashville, Tennessee: Integrating Crime and Traffic Crash Data; Baltimore, Maryland: Crash-Crime Project; Iraq: Locating IED Emplacement Locations; Minneapolis, Minnesota: Micro Crime Hot Spots; Charlotte-Mecklenburg County, North Carolina: Foreclosures and Crime; Crime Maps: Community Relations; Police Actions; CHAPTER FOUR: Using Predictions to Support Investigations of Potential Offenders; Protecting Privacy Rights and Civil Liberties; Predictive Policing Symposium Assessment Privacy Under the Fourth Amendment of the U.S. ConstitutionPrivacy with Respect to Policing Intelligence Information Systems; Privacy Resources for the Law Enforcement Community; Dealing with Noisy and Conflicting Data: Data Fusion; Heuristic and Simple-Model Methods; More Sophisticated Fusion Methods; Risk Assessment for Individual Criminal Behavior; Commonly Used Behavioral Instruments; Limitations of Behavioral Instruments; Quebec, Canada: Assessing Criminogenic Risks of Gang Members; Pittsburgh, Pennsylvania: Predicting Violence and Homicide Among Young Men |
| Beschreibung: | 1 Online-Ressource (xxix, 155 pages) |
| ISBN: | 9780833081551 0833081551 9780833081537 0833081535 9780833081544 0833081543 9780833081483 0833081489 |
Internformat
MARC
| LEADER | 00000nmm a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV042960630 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 151030s2013 |||| o||u| ||||||eng d | ||
| 020 | |a 9780833081551 |9 978-0-8330-8155-1 | ||
| 020 | |a 0833081551 |9 0-8330-8155-1 | ||
| 020 | |a 9780833081537 |9 978-0-8330-8153-7 | ||
| 020 | |a 0833081535 |9 0-8330-8153-5 | ||
| 020 | |a 9780833081544 |9 978-0-8330-8154-4 | ||
| 020 | |a 0833081543 |9 0-8330-8154-3 | ||
| 020 | |a 9780833081483 |9 978-0-8330-8148-3 | ||
| 020 | |a 0833081489 |9 0-8330-8148-9 | ||
| 035 | |a (OCoLC)858914485 | ||
| 035 | |a (DE-599)BVBBV042960630 | ||
| 040 | |a DE-604 |b ger |e aacr | ||
| 041 | 0 | |a eng | |
| 082 | 0 | |a 363.23 |2 23 | |
| 100 | 1 | |a Perry, Walt L. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Predictive policing |b the role of crime forecasting in law enforcement operations |c Walter L. Perry, Brian McInnis, Carter C. Price, Susan C. Smith, John S. Hollywood |
| 264 | 1 | |a Santa Monica, CA |b RAND |c [2013] | |
| 300 | |a 1 Online-Ressource (xxix, 155 pages) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 500 | |a Includes bibliographical references | ||
| 500 | |a Predictive policing is the use of analytical techniques to identify targets for police intervention with the goal of preventing crime, solving past crimes, or identifying potential offenders and victims. These tools are not a substitute for integrated approaches to policing, nor are they a crystal ball. This guide assesses some of the most promising technical tools and tactical approaches for acting on predictions in an effective way | ||
| 500 | |a Cover; Title Page; Copyright; Preface; Contents; Figures; Tables; Summary; Acknowledgments; Abbreviations; CHAPTER ONE: Introduction; What Is Predictive Policing?; A Criminological Justification for Predictive Policing: Why Crime Is "Predictable"; A Brief History of Predictive Policing; Background; Training; Study Objectives and Methods; Objectives; Approach; The Nature of Predictive Policing: This Is Not Minority Report; A Taxonomy of Predictive Methods; Prediction-Led Policing Processes and Practices; Data Collection; Analysis; Police Operations; Criminal Response; About This Report | ||
| 500 | |a CHAPTER TWO: Making Predictions About Potential CrimesNotes on Software; Hot Spot Analysis and Crime Mapping; Grid Mapping; Covering Ellipses; Single and Dual Kernel Density Estimation; Heuristic Methods; Regression Methods; Types of Relationships; Selecting Input Variables; Leading Indicators in Regression (and Other) Models; A Regression Example; Data Mining (Predictive Analytics); Clustering; Classification; Training and Testing a Model; Near-Repeat Methods; Spatiotemporal Analysis; Basics of Spatiotemporal Analysis; Heat Maps; Spatiotemporal Modeling Using the Generalized Additive Model | ||
| 500 | |a SeasonalityRisk Terrain Analysis; A Heuristic Approach: Risk Terrain Modeling; A Statistical Approach to Risk Terrain Analysis; Discussion of Risk Terrain Analysis Approaches; Prediction Methods; CHAPTER THREE: Using Predictions to Support Police Operations; Evidence-Based Policing; Taking Action on Hot Spots in Washington, D.C.; Koper Curve Application in Sacramento; Investigating Convenience Store Robberies in Chula Vista, California; Predictive Policing in Context: Case Studies; Shreveport, Louisiana: Predictive Intelligence-Led Operational Targeting | ||
| 500 | |a Memphis, Tennessee: Crime Reduction Utilizing Statistical HistoryNashville, Tennessee: Integrating Crime and Traffic Crash Data; Baltimore, Maryland: Crash-Crime Project; Iraq: Locating IED Emplacement Locations; Minneapolis, Minnesota: Micro Crime Hot Spots; Charlotte-Mecklenburg County, North Carolina: Foreclosures and Crime; Crime Maps: Community Relations; Police Actions; CHAPTER FOUR: Using Predictions to Support Investigations of Potential Offenders; Protecting Privacy Rights and Civil Liberties; Predictive Policing Symposium Assessment | ||
| 500 | |a Privacy Under the Fourth Amendment of the U.S. ConstitutionPrivacy with Respect to Policing Intelligence Information Systems; Privacy Resources for the Law Enforcement Community; Dealing with Noisy and Conflicting Data: Data Fusion; Heuristic and Simple-Model Methods; More Sophisticated Fusion Methods; Risk Assessment for Individual Criminal Behavior; Commonly Used Behavioral Instruments; Limitations of Behavioral Instruments; Quebec, Canada: Assessing Criminogenic Risks of Gang Members; Pittsburgh, Pennsylvania: Predicting Violence and Homicide Among Young Men | ||
| 650 | 7 | |a BUSINESS & ECONOMICS / Infrastructure |2 bisacsh | |
| 650 | 7 | |a SOCIAL SCIENCE / General |2 bisacsh | |
| 650 | 7 | |a LAW / Criminal Law / General |2 bisacsh | |
| 650 | 7 | |a Crime forecasting |2 fast | |
| 650 | 7 | |a Crime prevention |2 fast | |
| 650 | 7 | |a Criminal behavior, Prediction of |2 fast | |
| 650 | 7 | |a Police |2 fast | |
| 650 | 4 | |a Wirtschaft | |
| 650 | 4 | |a Crime forecasting |z United States | |
| 650 | 4 | |a Crime prevention |z United States | |
| 650 | 4 | |a Criminal behavior, Prediction of |z United States | |
| 650 | 4 | |a Police |z United States | |
| 651 | 4 | |a USA | |
| 856 | 4 | 0 | |u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=646990 |x Aggregator |3 Volltext |
| 912 | |a ZDB-4-EBU | ||
| 940 | 1 | |q FLA_PDA_EBU | |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-028386496 | ||
Datensatz im Suchindex
| _version_ | 1804175281529815040 |
|---|---|
| any_adam_object | |
| author | Perry, Walt L. |
| author_facet | Perry, Walt L. |
| author_role | aut |
| author_sort | Perry, Walt L. |
| author_variant | w l p wl wlp |
| building | Verbundindex |
| bvnumber | BV042960630 |
| collection | ZDB-4-EBU |
| ctrlnum | (OCoLC)858914485 (DE-599)BVBBV042960630 |
| dewey-full | 363.23 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 363 - Other social problems and services |
| dewey-raw | 363.23 |
| dewey-search | 363.23 |
| dewey-sort | 3363.23 |
| dewey-tens | 360 - Social problems and services; associations |
| discipline | Soziologie |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>05378nmm a2200613zc 4500</leader><controlfield tag="001">BV042960630</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">151030s2013 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780833081551</subfield><subfield code="9">978-0-8330-8155-1</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">0833081551</subfield><subfield code="9">0-8330-8155-1</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780833081537</subfield><subfield code="9">978-0-8330-8153-7</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">0833081535</subfield><subfield code="9">0-8330-8153-5</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780833081544</subfield><subfield code="9">978-0-8330-8154-4</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">0833081543</subfield><subfield code="9">0-8330-8154-3</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780833081483</subfield><subfield code="9">978-0-8330-8148-3</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">0833081489</subfield><subfield code="9">0-8330-8148-9</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)858914485</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV042960630</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">aacr</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">363.23</subfield><subfield code="2">23</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Perry, Walt L.</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Predictive policing</subfield><subfield code="b">the role of crime forecasting in law enforcement operations</subfield><subfield code="c">Walter L. Perry, Brian McInnis, Carter C. Price, Susan C. Smith, John S. Hollywood</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Santa Monica, CA</subfield><subfield code="b">RAND</subfield><subfield code="c">[2013]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (xxix, 155 pages)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Predictive policing is the use of analytical techniques to identify targets for police intervention with the goal of preventing crime, solving past crimes, or identifying potential offenders and victims. These tools are not a substitute for integrated approaches to policing, nor are they a crystal ball. This guide assesses some of the most promising technical tools and tactical approaches for acting on predictions in an effective way</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Cover; Title Page; Copyright; Preface; Contents; Figures; Tables; Summary; Acknowledgments; Abbreviations; CHAPTER ONE: Introduction; What Is Predictive Policing?; A Criminological Justification for Predictive Policing: Why Crime Is "Predictable"; A Brief History of Predictive Policing; Background; Training; Study Objectives and Methods; Objectives; Approach; The Nature of Predictive Policing: This Is Not Minority Report; A Taxonomy of Predictive Methods; Prediction-Led Policing Processes and Practices; Data Collection; Analysis; Police Operations; Criminal Response; About This Report</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">CHAPTER TWO: Making Predictions About Potential CrimesNotes on Software; Hot Spot Analysis and Crime Mapping; Grid Mapping; Covering Ellipses; Single and Dual Kernel Density Estimation; Heuristic Methods; Regression Methods; Types of Relationships; Selecting Input Variables; Leading Indicators in Regression (and Other) Models; A Regression Example; Data Mining (Predictive Analytics); Clustering; Classification; Training and Testing a Model; Near-Repeat Methods; Spatiotemporal Analysis; Basics of Spatiotemporal Analysis; Heat Maps; Spatiotemporal Modeling Using the Generalized Additive Model</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">SeasonalityRisk Terrain Analysis; A Heuristic Approach: Risk Terrain Modeling; A Statistical Approach to Risk Terrain Analysis; Discussion of Risk Terrain Analysis Approaches; Prediction Methods; CHAPTER THREE: Using Predictions to Support Police Operations; Evidence-Based Policing; Taking Action on Hot Spots in Washington, D.C.; Koper Curve Application in Sacramento; Investigating Convenience Store Robberies in Chula Vista, California; Predictive Policing in Context: Case Studies; Shreveport, Louisiana: Predictive Intelligence-Led Operational Targeting</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Memphis, Tennessee: Crime Reduction Utilizing Statistical HistoryNashville, Tennessee: Integrating Crime and Traffic Crash Data; Baltimore, Maryland: Crash-Crime Project; Iraq: Locating IED Emplacement Locations; Minneapolis, Minnesota: Micro Crime Hot Spots; Charlotte-Mecklenburg County, North Carolina: Foreclosures and Crime; Crime Maps: Community Relations; Police Actions; CHAPTER FOUR: Using Predictions to Support Investigations of Potential Offenders; Protecting Privacy Rights and Civil Liberties; Predictive Policing Symposium Assessment</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Privacy Under the Fourth Amendment of the U.S. ConstitutionPrivacy with Respect to Policing Intelligence Information Systems; Privacy Resources for the Law Enforcement Community; Dealing with Noisy and Conflicting Data: Data Fusion; Heuristic and Simple-Model Methods; More Sophisticated Fusion Methods; Risk Assessment for Individual Criminal Behavior; Commonly Used Behavioral Instruments; Limitations of Behavioral Instruments; Quebec, Canada: Assessing Criminogenic Risks of Gang Members; Pittsburgh, Pennsylvania: Predicting Violence and Homicide Among Young Men</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">BUSINESS & ECONOMICS / Infrastructure</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">SOCIAL SCIENCE / General</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">LAW / Criminal Law / General</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Crime forecasting</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Crime prevention</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Criminal behavior, Prediction of</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Police</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Wirtschaft</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Crime forecasting</subfield><subfield code="z">United States</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Crime prevention</subfield><subfield code="z">United States</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Criminal behavior, Prediction of</subfield><subfield code="z">United States</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Police</subfield><subfield code="z">United States</subfield></datafield><datafield tag="651" ind1=" " ind2="4"><subfield code="a">USA</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=646990</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-4-EBU</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">FLA_PDA_EBU</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-028386496</subfield></datafield></record></collection> |
| geographic | USA |
| geographic_facet | USA |
| id | DE-604.BV042960630 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:13:48Z |
| institution | BVB |
| isbn | 9780833081551 0833081551 9780833081537 0833081535 9780833081544 0833081543 9780833081483 0833081489 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-028386496 |
| oclc_num | 858914485 |
| open_access_boolean | |
| physical | 1 Online-Ressource (xxix, 155 pages) |
| psigel | ZDB-4-EBU FLA_PDA_EBU |
| publishDate | 2013 |
| publishDateSearch | 2013 |
| publishDateSort | 2013 |
| publisher | RAND |
| record_format | marc |
| spelling | Perry, Walt L. Verfasser aut Predictive policing the role of crime forecasting in law enforcement operations Walter L. Perry, Brian McInnis, Carter C. Price, Susan C. Smith, John S. Hollywood Santa Monica, CA RAND [2013] 1 Online-Ressource (xxix, 155 pages) txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references Predictive policing is the use of analytical techniques to identify targets for police intervention with the goal of preventing crime, solving past crimes, or identifying potential offenders and victims. These tools are not a substitute for integrated approaches to policing, nor are they a crystal ball. This guide assesses some of the most promising technical tools and tactical approaches for acting on predictions in an effective way Cover; Title Page; Copyright; Preface; Contents; Figures; Tables; Summary; Acknowledgments; Abbreviations; CHAPTER ONE: Introduction; What Is Predictive Policing?; A Criminological Justification for Predictive Policing: Why Crime Is "Predictable"; A Brief History of Predictive Policing; Background; Training; Study Objectives and Methods; Objectives; Approach; The Nature of Predictive Policing: This Is Not Minority Report; A Taxonomy of Predictive Methods; Prediction-Led Policing Processes and Practices; Data Collection; Analysis; Police Operations; Criminal Response; About This Report CHAPTER TWO: Making Predictions About Potential CrimesNotes on Software; Hot Spot Analysis and Crime Mapping; Grid Mapping; Covering Ellipses; Single and Dual Kernel Density Estimation; Heuristic Methods; Regression Methods; Types of Relationships; Selecting Input Variables; Leading Indicators in Regression (and Other) Models; A Regression Example; Data Mining (Predictive Analytics); Clustering; Classification; Training and Testing a Model; Near-Repeat Methods; Spatiotemporal Analysis; Basics of Spatiotemporal Analysis; Heat Maps; Spatiotemporal Modeling Using the Generalized Additive Model SeasonalityRisk Terrain Analysis; A Heuristic Approach: Risk Terrain Modeling; A Statistical Approach to Risk Terrain Analysis; Discussion of Risk Terrain Analysis Approaches; Prediction Methods; CHAPTER THREE: Using Predictions to Support Police Operations; Evidence-Based Policing; Taking Action on Hot Spots in Washington, D.C.; Koper Curve Application in Sacramento; Investigating Convenience Store Robberies in Chula Vista, California; Predictive Policing in Context: Case Studies; Shreveport, Louisiana: Predictive Intelligence-Led Operational Targeting Memphis, Tennessee: Crime Reduction Utilizing Statistical HistoryNashville, Tennessee: Integrating Crime and Traffic Crash Data; Baltimore, Maryland: Crash-Crime Project; Iraq: Locating IED Emplacement Locations; Minneapolis, Minnesota: Micro Crime Hot Spots; Charlotte-Mecklenburg County, North Carolina: Foreclosures and Crime; Crime Maps: Community Relations; Police Actions; CHAPTER FOUR: Using Predictions to Support Investigations of Potential Offenders; Protecting Privacy Rights and Civil Liberties; Predictive Policing Symposium Assessment Privacy Under the Fourth Amendment of the U.S. ConstitutionPrivacy with Respect to Policing Intelligence Information Systems; Privacy Resources for the Law Enforcement Community; Dealing with Noisy and Conflicting Data: Data Fusion; Heuristic and Simple-Model Methods; More Sophisticated Fusion Methods; Risk Assessment for Individual Criminal Behavior; Commonly Used Behavioral Instruments; Limitations of Behavioral Instruments; Quebec, Canada: Assessing Criminogenic Risks of Gang Members; Pittsburgh, Pennsylvania: Predicting Violence and Homicide Among Young Men BUSINESS & ECONOMICS / Infrastructure bisacsh SOCIAL SCIENCE / General bisacsh LAW / Criminal Law / General bisacsh Crime forecasting fast Crime prevention fast Criminal behavior, Prediction of fast Police fast Wirtschaft Crime forecasting United States Crime prevention United States Criminal behavior, Prediction of United States Police United States USA http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=646990 Aggregator Volltext |
| spellingShingle | Perry, Walt L. Predictive policing the role of crime forecasting in law enforcement operations BUSINESS & ECONOMICS / Infrastructure bisacsh SOCIAL SCIENCE / General bisacsh LAW / Criminal Law / General bisacsh Crime forecasting fast Crime prevention fast Criminal behavior, Prediction of fast Police fast Wirtschaft Crime forecasting United States Crime prevention United States Criminal behavior, Prediction of United States Police United States |
| title | Predictive policing the role of crime forecasting in law enforcement operations |
| title_auth | Predictive policing the role of crime forecasting in law enforcement operations |
| title_exact_search | Predictive policing the role of crime forecasting in law enforcement operations |
| title_full | Predictive policing the role of crime forecasting in law enforcement operations Walter L. Perry, Brian McInnis, Carter C. Price, Susan C. Smith, John S. Hollywood |
| title_fullStr | Predictive policing the role of crime forecasting in law enforcement operations Walter L. Perry, Brian McInnis, Carter C. Price, Susan C. Smith, John S. Hollywood |
| title_full_unstemmed | Predictive policing the role of crime forecasting in law enforcement operations Walter L. Perry, Brian McInnis, Carter C. Price, Susan C. Smith, John S. Hollywood |
| title_short | Predictive policing |
| title_sort | predictive policing the role of crime forecasting in law enforcement operations |
| title_sub | the role of crime forecasting in law enforcement operations |
| topic | BUSINESS & ECONOMICS / Infrastructure bisacsh SOCIAL SCIENCE / General bisacsh LAW / Criminal Law / General bisacsh Crime forecasting fast Crime prevention fast Criminal behavior, Prediction of fast Police fast Wirtschaft Crime forecasting United States Crime prevention United States Criminal behavior, Prediction of United States Police United States |
| topic_facet | BUSINESS & ECONOMICS / Infrastructure SOCIAL SCIENCE / General LAW / Criminal Law / General Crime forecasting Crime prevention Criminal behavior, Prediction of Police Wirtschaft Crime forecasting United States Crime prevention United States Criminal behavior, Prediction of United States Police United States USA |
| url | http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=646990 |
| work_keys_str_mv | AT perrywaltl predictivepolicingtheroleofcrimeforecastinginlawenforcementoperations |