Investigative Data Mining for Security and Criminal Detection

Cover
Butterworth-Heinemann, 2003 - 452 Seiten
Investigative Data Mining for Security and Criminal Detection is the first book to outline how data mining technologies can be used to combat crime in the 21st century. It introduces security managers, law enforcement investigators, counter-intelligence agents, fraud specialists, and information security analysts to the latest data mining techniques and shows how they can be used as investigative tools. Readers will learn how to search public and private databases and networks to flag potential security threats and root out criminal activities even before they occur.

The groundbreaking book reviews the latest data mining technologies including intelligent agents, link analysis, text mining, decision trees, self-organizing maps, machine learning, and neural networks. Using clear, understandable language, it explains the application of these technologies in such areas as computer and network security, fraud prevention, law enforcement, and national defense. International case studies throughout the book further illustrate how these technologies can be used to aid in crime prevention.

Investigative Data Mining for Security and Criminal Detection will also serve as an indispensable resource for software developers and vendors as they design new products for the law enforcement and intelligence communities.


Key Features:
* Covers cutting-edge data mining technologies available to use in evidence gathering and collection
* Includes numerous case studies, diagrams, and screen captures to illustrate real-world applications of data mining
* Easy-to-read format illustrates current and future data mining uses in preventative law enforcement, criminal profiling, counter-terrorist initiatives, and forensic science

* Introduces cutting-edge technologies in evidence gathering and collection, using clear non-technical language
* Illustrates current and future applications of data mining tools in preventative law enforcement, homeland security, and other areas of crime detection and prevention
* Shows how to construct predictive models for detecting criminal activity and for behavioral profiling of perpetrators
* Features numerous Web links, vendor resources, case studies, and screen captures illustrating the use of artificial intelligence (AI) technologies
 

Inhalt

II
1
III
2
IV
3
V
4
VI
5
VII
6
VIII
8
IX
9
XCIX
206
C
207
CI
208
CII
209
CIII
210
CIV
211
CV
217
CVI
219

X
11
XI
14
XII
15
XIV
19
XV
22
XVI
24
XVII
37
XVIII
38
XIX
39
XXII
40
XXIV
42
XXV
46
XXVII
47
XXVIII
55
XXX
59
XXXI
61
XXXII
63
XXXIII
64
XXXIV
65
XXXV
66
XXXVI
68
XXXVII
72
XXXVIII
74
XXXIX
75
XLIII
76
XLIV
77
XLV
78
XLVI
80
XLVII
81
XLVIII
82
XLIX
84
L
85
LI
88
LII
104
LIII
107
LVI
108
LVII
109
LVIII
111
LIX
112
LX
113
LXII
114
LXIII
116
LXIV
117
LXV
120
LXVI
121
LXVII
123
LXVIII
125
LXXI
126
LXXII
127
LXXIII
128
LXXIV
130
LXXV
132
LXXVI
138
LXXVII
141
LXXVIII
157
LXXIX
159
LXXXI
160
LXXXII
161
LXXXIII
162
LXXXIV
163
LXXXV
164
LXXXVI
165
LXXXVII
167
LXXXIX
169
XC
172
XCI
178
XCII
179
XCIII
195
XCIV
196
XCV
204
XCVI
205
CVII
227
CVIII
231
CIX
246
CX
247
CXII
248
CXIV
249
CXV
250
CXVI
251
CXVII
252
CXVIII
254
CXIX
255
CXX
256
CXXI
257
CXXII
259
CXXIV
260
CXXV
262
CXXVI
264
CXXVII
265
CXXVIII
268
CXXIX
269
CXXX
270
CXXXI
271
CXXXII
273
CXXXIII
275
CXXXIV
277
CXXXV
279
CXXXVI
285
CXXXVII
286
CXXXVIII
289
CXXXIX
291
CXL
294
CXLI
297
CXLII
299
CXLV
307
CXLVI
308
CXLVII
311
CXLVIII
316
CXLIX
317
CL
319
CLI
321
CLII
322
CLIII
323
CLIV
324
CLVI
325
CLIX
326
CLXI
327
CLXII
328
CLXIII
329
CLXIV
331
CLXV
332
CLXVI
334
CLXVII
335
CLXVIII
336
CLXIX
338
CLXX
339
CLXXI
341
CLXXIII
343
CLXXIV
344
CLXXV
346
CLXXVII
361
CLXXVIII
362
CLXXX
373
CLXXXI
374
CLXXXII
376
CLXXXIII
377
CLXXXV
413
CLXXXVI
417
CLXXXVIII
429
CXC
433
Urheberrecht

Andere Ausgaben - Alle anzeigen

Häufige Begriffe und Wortgruppen

Autoren-Profil (2003)

Jesứs Mena is a data mining consultant and a former artificial intelligence specialist for the Internal Revenue Service (IRS) in the U.S. He has over 15 years experience in the field and is author of the best-selling Data Mining Your Website and WebMining for Profit. His articles have been widely published in key publications in the information technology, Internet, marketing, and artificial intelligence fields. He can be contacted at mail@jesusmena.com.

Bibliografische Informationen