Sciweavers

KDD   2003 International Conference on Knowledge Discovery and Data Mining
Wall of Fame | Most Viewed KDD-2003 Paper
KDD
2003
ACM
449views Data Mining» more  KDD 2003»
14 years 11 months ago
Passenger-based predictive modeling of airline no-show rates
Airlines routinely overbook flights based on the expectation that some fraction of booked passengers will not show for each flight. Accurate forecasts of the expected number of no...
Richard D. Lawrence, Se June Hong, Jacques Cherrie...
Disclaimer and Copyright Notice
Sciweavers respects the rights of all copyright holders and in this regard, authors are only allowed to share a link to their preprint paper on their own website. Every contribution is associated with a desciptive image. It is the sole responsibility of the authors to ensure that their posted image is not copyright infringing. This service is compliant with IEEE copyright.
IdReadViewsTitleStatus
1Download preprint from source449
2Download preprint from source269
3Download preprint from source266
4Download preprint from source243
5Download preprint from source233
6Download preprint from source217
7Download preprint from source214
8Download preprint from source210
9Download preprint from source205
10Download preprint from source205
11Download preprint from source195
12Download preprint from source194
13Download preprint from source192
14Download preprint from source191
15Download preprint from source190
16Download preprint from source180
17Download preprint from source177
18Download preprint from source175
19Download preprint from source175
20Download preprint from source175
21Download preprint from source170
22Download preprint from source162
23Download preprint from source161
24Download preprint from source161
25Download preprint from source160
26Download preprint from source157
27Download preprint from source156
28Download preprint from source156
29Download preprint from source155
30Download preprint from source152
31Download preprint from source152
32Download preprint from source150
33Download preprint from source149
34Download preprint from source148
35Download preprint from source148
36Download preprint from source148
37Download preprint from source146
38Download preprint from source146
39Download preprint from source145
40Download preprint from source145
41Download preprint from source144
42Download preprint from source143
43Download preprint from source142
44Download preprint from source142
45Download preprint from source142
46Download preprint from source140
47Download preprint from source135
48Download preprint from source133
49Download preprint from source133
50Download preprint from source132
51Download preprint from source130
52Download preprint from source130
53Download preprint from source129
54Download preprint from source129
55Download preprint from source129
56Download preprint from source128
57Download preprint from source127
58Download preprint from source127
59Download preprint from source124
60Download preprint from source122
61Download preprint from source122
62Download preprint from source122
63Download preprint from source122
64Download preprint from source120
65Download preprint from source120
66Download preprint from source118
67Download preprint from source116
68Download preprint from source116
69Download preprint from source114
70Download preprint from source113
71Download preprint from source113
72Download preprint from source113
73Download preprint from source112
74Download preprint from source111
75Download preprint from source111
76Download preprint from source109
77Download preprint from source109
78Download preprint from source108
79Download preprint from source99
80Download preprint from source97