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www.dbeBooks.com - An Ebook Library
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A C.I.P. Catalogue record for this
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vi TABLE OF CONTENTS PART 1 - DATAB
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viii TABLE OF CONTENTS A WIRELESS A
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CONFERENCE COMMITTEE Honorary Presi
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Hung, P. (AUSTRALIA) Jahankhani, H.
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Invited Papers
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2 ENTERPRISE INFORMATION SYSTEMS VI
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4 ENTERPRISE INFORMATION SYSTEMS VI
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6 ENTERPRISE INFORMATION SYSTEMS VI
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8 ENTERPRISE INFORMATION SYSTEMS VI
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10 ENTERPRISE INFORMATION SYSTEMS V
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12 ENTERPRISE INFORMATION SYSTEMS V
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14 ENTERPRISE INFORMATION SYSTEMS V
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16 ENTERPRISE INFORMATION SYSTEMS V
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18 ENTERPRISE INFORMATION SYSTEMS V
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20 ENTERPRISE INFORMATION SYSTEMS V
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22 ENTERPRISE INFORMATION SYSTEMS V
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EVOLUTIONARY PROJECT MANAGEMENT: MU
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26 ENTERPRISE INFORMATION SYSTEMS V
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28 ENTERPRISE INFORMATION SYSTEMS V
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MANAGING COMPLEXITY OF ENTERPRISE I
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32 ENTERPRISE INFORMATION SYSTEMS V
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34 ENTERPRISE INFORMATION SYSTEMS V
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36 ENTERPRISE INFORMATION SYSTEMS V
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38 ENTERPRISE INFORMATION SYSTEMS V
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40 ENTERPRISE INFORMATION SYSTEMS V
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42 ENTERPRISE INFORMATION SYSTEMS V
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44 ENTERPRISE INFORMATION SYSTEMS V
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46 ENTERPRISE INFORMATION SYSTEMS V
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48 ENTERPRISE INFORMATION SYSTEMS V
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50 ENTERPRISE INFORMATION SYSTEMS V
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52 ENTERPRISE INFORMATION SYSTEMS V
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ASSESSING EFFORT PREDICTION MODELS
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ASSESSING EFFORT PREDICTION MODELS
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ASSESSING EFFORT PREDICTION MODELS
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ASSESSING EFFORT PREDICTION MODELS
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ORGANIZATIONAL AND TECHNOLOGICAL CR
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ORGANIZATIONAL AND TECHNOLOGICAL CR
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ASAP Processes W Project Kickoff A
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ORGANIZATIONAL AND TECHNOLOGICAL CR
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since it means changing the relevan
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ACME-DB: AN ADAPTIVE CACHING MECHAN
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ACME-DB: AN ADAPTIVE CACHING MECHAN
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Hit Rate (%) ACME-DB: AN ADAPTIVE C
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5.3.6 Effect on all Policies by Int
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ACKNOWLEDGEMENTS We would like to t
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This paper describes the data sampl
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The major limit A of the operation
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RELATIONAL SAMPLING FOR DATA QUALIT
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TOWARDS DESIGN RATIONALES OF SOFTWA
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((Brown et al., 1998), pp. 159-190,
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sive data filtering, presentation (
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• implementation changes in servi
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MEMORY MANAGEMENT FOR LARGE SCALE D
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Data Rate [bytes/sec] 1600000 14000
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E.g., DV Camcorder Camera Packets (
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Procedure CheckOptimal (n rs 1 ...n
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MEMORY MANAGEMENT FOR LARGE SCALE D
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PART 2 Artificial Intelligence and
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110 ENTERPRISE INFORMATION SYSTEMS
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112 ENTERPRISE INFORMATION SYSTEMS
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114 ENTERPRISE INFORMATION SYSTEMS
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DYNAMIC MULTI-AGENT BASED VARIETY F
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118 ENTERPRISE INFORMATION SYSTEMS
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120 ENTERPRISE INFORMATION SYSTEMS
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122 ENTERPRISE INFORMATION SYSTEMS
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124 ENTERPRISE INFORMATION SYSTEMS
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126 ENTERPRISE INFORMATION SYSTEMS
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128 ENTERPRISE INFORMATION SYSTEMS
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130 ENTERPRISE INFORMATION SYSTEMS
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132 ENTERPRISE INFORMATION SYSTEMS
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134 ENTERPRISE INFORMATION SYSTEMS
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136 ENTERPRISE INFORMATION SYSTEMS
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138 ENTERPRISE INFORMATION SYSTEMS
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140 ENTERPRISE INFORMATION SYSTEMS
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142 ENTERPRISE INFORMATION SYSTEMS
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144 ENTERPRISE INFORMATION SYSTEMS
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146 ENTERPRISE INFORMATION SYSTEMS
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148 ENTERPRISE INFORMATION SYSTEMS
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150 ENTERPRISE INFORMATION SYSTEMS
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152 ENTERPRISE INFORMATION SYSTEMS
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154 ENTERPRISE INFORMATION SYSTEMS
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156 ENTERPRISE INFORMATION SYSTEMS
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AN EXPERIENCE IN MANAGEMENT OF IMPR
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160 ENTERPRISE INFORMATION SYSTEMS
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162 ENTERPRISE INFORMATION SYSTEMS
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164 ENTERPRISE INFORMATION SYSTEMS
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166 ENTERPRISE INFORMATION SYSTEMS
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ANALYSIS AND RE-ENGINEERING OF WEB
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Module p0 Customer Itinerary Send I
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departments: the marketing dept. se
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• An acyclic module M is usable,
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BALANCING STAKEHOLDER’S PREFERENC
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The scenarios will provide an abstr
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BALANCING STAKEHOLDER'S PREFERENCES
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BALANCING STAKEHOLDER'S PREFERENCES
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A POLYMORPHIC CONTEXT FRAME TO SUPP
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A POLYMORPHIC CONTE XT FRAME TO SUP
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A POLYMORPHIC CONTE XT FRAME TO SUP
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A POLYMORPHIC CONTE XT FRAME TO SUP
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FEATURE MATCHING IN MODEL-BASED SOF
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combination of solution domains - a
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• features for all the concepts:
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Existence In both steps it is possi
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matching strategies are maximal, mi
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TOWARDS A META MODEL FOR DESCRIBING
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elementary message (ae-message) can
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problems on a pragmatic level, whic
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TOWARDS A META MODEL FOR DESCRIBING
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INTRUSION DETECTION SYSTEMS USING A
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INTRUSION DETECTION SYSTEMS USING A
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(k� 1) (k) (k�1) (k) p � w
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Table 5: Performance Comparison of
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A USER-CENTERED METHODOLOGY TO GENE
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carries out the second phase of the
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1 1 1 1 2 PROCESS STORE ENTITY EDGE
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constraints rules. KOGGE (Ebert et
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PART 4 Software Agents and Internet
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230 ENTERPRISE INFORMATION SYSTEMS
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232 ENTERPRISE INFORMATION SYSTEMS
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234 ENTERPRISE INFORMATION SYSTEMS
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236 ENTERPRISE INFORMATION SYSTEMS
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238 ENTERPRISE INFORMATION SYSTEMS
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240 ENTERPRISE INFORMATION SYSTEMS
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242 ENTERPRISE INFORMATION SYSTEMS
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244 ENTERPRISE INFORMATION SYSTEMS
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246 ENTERPRISE INFORMATION SYSTEMS
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248 ENTERPRISE INFORMATION SYSTEMS
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250 ENTERPRISE INFORMATION SYSTEMS
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252 ENTERPRISE INFORMATION SYSTEMS
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254 ENTERPRISE INFORMATION SYSTEMS
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256 ENTERPRISE INFORMATION SYSTEMS
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258 ENTERPRISE INFORMATION SYSTEMS
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260 ENTERPRISE INFORMATION SYSTEMS
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262 ENTERPRISE INFORMATION SYSTEMS
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264 ENTERPRISE INFORMATION SYSTEMS
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266 ENTERPRISE INFORMATION SYSTEMS
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- Page 287 and 288: y disables evidencing severe mental
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