Journal article

Mining of massive datasets

Zimmeck S, Bellovin S, Zeng H, Yee G, Xiao X, Paradkar A, Thummalapenta S, Xie T, Woszezenki C, Gonçalves A, Wohlin C, Runeson P, Höst M, Ohlsson M, Regnell B, Wesslén A, Witten I, Paynter G, Frank E, Gutwin C, Nevill-Manning C, Wei C, Huang I, Hsu Y, Kao H, Watson B, Wang H, Lee M, Wang C, Vyas N, Squicciarini A, Chang C, Yao D, Vatsalan D, Christen P, Verykios V, Van Solingen R, Basili V, Caldiera G, Rombach H, Unsworth K, Thornburgh T, Sustik M, Moore J, Susik R, Grabowski S, Fredriksson K, Sparck Jones K, Soderland S, Smith R, Xu J, Smit E, Noort G, Voorveld H, Singla N, Garg D, da Silva A, Sharfuddin A, Schwaig K, Segars A, Grover V, Fiedler K, Savoy J, Santos R, Souza E, Correia-Neto J, Magalhães C, Vilar G, SaiKrishna V, Rasool A, Khare N, Sadeh N, Acquisti A, Breaux T, Cranor L, McDonalda A, Reidenbergb J, Smith N, Liu F, Russellb N, Schaub F, Others, Reidenberg J, Breaux T, Cranor L, French B, Grannis A, Graves J, Liu F, McDonald A, Norton T, Ramanath R, Others, Ramos J, Eden J, Edu R, Rajaraman A, Ullman J, Ullman J, Ullman J, Porter M, Pitofsky R, Anthony S, Thompson M, Swindle O, Leary T, Pérez-Castillo R, Sánchez-González L, Piattini M, García F, de Guzman I, de Guzmán I, Piattini M, Places A, Perez-Castillo R, Sanchez-Gonzalez L, Piattini M, Garcia F, de Guzman I, Perera S, Sheth A, Thirunarayan K, Nair S, Shah N, Pearson S, Pasquale F, Parr T, Quong R, Pandita R, Palen L, Dourish P, Orengo V, Huyck C, de Oliveira M, Others, Neff M, Byrd R, Boguraev B, Nebel M, Murphy K, Mitchell T, Mikolov T, Yih W, Zweig G, Sutskever I, Chen K, Corrado G, Dean J, Mcnaught J, Black W, Ananiadou S, McDonald A, Reeder R, Kelley P, Cranor L, Matos P, Massey A, Eisenstein J, Anton A, Swire P, Others, Machado A, Ferreira R, Bittencourt I, Elias E, Brito P, Costa E, Lobato L, Zorzo S, Liu M, Yang J, Lin D, Loui M, Leskovec J, Rajaraman A, Ullman J, Krauthammer M, Nenadic G, Kluegl P, Toepfer M, Beck P, Fette G, Puppe F, Kelley P, Cesca L, Bresee J, Cranor L, Reeder R, Karp R, Rabin M, Kalsi P, Peltola H, Tarhio J, Jensen C, Potts C, Jensen C, Jai T, King N, Jagatic T, Johnson N, Jakobsson M, Menczer F, Jafari M, Safavi-Naini R, Fong P, Barker K, Horspool R, Hong J, Havrlant L, Kreinovich V, Hakim A, Erwin A, Eng K, Galinium M, Muliady W, Gürses S, Ghani N, Sidek Z, Fumudoh S, Viswanathan U, Frank E, Paynter G, Witten I, Gutwin C, Nevill-Manning C, Francesconi E, Passerini A, Ferrara E, De Meo P, Fiumara G, Baumgartner R, Ferraiolo D, Sandhu R, Gavrila S, Kuhn D, Chandramouli R, Faro S, Lecroq T, Earp J, He Q, Stufflebeam W, Bolchini D, Jensen C, Others, Drichoutis A, Lazaridis P, Nayga R, dos Santos C, Domingos P, Pazzani M, Dias R, Davis J, Goadrich M, D’hondt E, Verberne S, Weber N, Koster C, Boves L, Costante E, Sun Y, Petković M, den Hartog J, Conger S, Pratt J, Loch K, Cohen K, Hunter L, Coelho A, Choudhary A, Ashar P, Kulkarni J, Chang C, Wang H, Capistrano E, Chen J, CAntone D, Faro S, Campbell J, Goldfarb A, Tucker C, Boyer R, Moore J, Boguslaw R, Westin A, Blei D, Ng A, Jordan M, Biagioli C, Francesconi E, Passerini A, Montemagni S, Soria C, Bender R, Basili V, Weiss D, Rombach H, Bandara A, Russo A, Lupu E, Baek T, Morimoto M, Au K, Zhou Y, Huang Z, Lie D, Aranha C, Algarni A, Tairan N, Aguirre E, Mahr D, Grewal D, de Ruyter K, Wetzels M, Adams J, Bauer K, Hardcastle A, Grunwald D, Sicker D, Acquisti A, Brandimarte L, Loewenstein G ...see all

Communications of the ACM, vol. 4, issue 1 (2014) pp. 1-22

  • 13


    Mendeley users who have this article in their library.
  • N/A


    Citations of this article.
Sign in to save reference


This study attempts to identify the potential determinants of advertising avoidance in the context of person- alized advertising media, including unsolicited commercial e-mail, postal direct mail, telemarketing, and text messaging. Using a self-administered survey (n = 442), the proposed model is tested with structural equation modeling analysis. The findings indicate that while ad skepticism partially mediates the relationship between ad avoidance and its three determi- nants (perceived personalization, privacy concerns, and ad irritation), both privacy concerns and ad irritation have a direct positive effect on ad avoidance. However, increased perceived personalization leads directly to decreased ad avoidance.

Author-supplied keywords

  • 8
  • Acronym recognition
  • Algorithm design and analysis
  • Biomedical literature
  • Boyer-Moore algorithm
  • Commitment
  • Consumer attitudes
  • Consumer data
  • Consumer loyalty
  • Coping
  • Customer relationship management
  • Data brokers
  • Data collection
  • Data integration
  • Data leakage
  • Data matching
  • Data quality
  • Data sharing
  • Dictionaries
  • Digital society
  • Emerging technologies
  • Entity resolution
  • Ethics
  • Experimental design
  • Informa
  • Information collection
  • Information privacy
  • Informed consent
  • Internet
  • KMP algorithm
  • Mashups
  • Open government
  • Pattern matching algorithms
  • Personal information privacy
  • Personalization paradox
  • Petri net
  • Privacy
  • Privacy Threats
  • Privacy concerns
  • Privacy segment index
  • Privacy techniques
  • Psychological ownership
  • Public Service Mashups
  • Purpose
  • Record linkage
  • Regular grammars
  • Role-based access control
  • Survey
  • Targeted advertising
  • Term classification
  • Term identification
  • Term mapping
  • Term recognition
  • Trust-building strategies
  • Vulnerability
  • Web services
  • access control
  • as elements in the
  • authorization management
  • boyer-moore
  • boyer-moore-horspool
  • business data processing
  • by
  • content management
  • dat
  • data mining
  • data privacy
  • electronic commerce
  • electronic publishing
  • enhanced from tf
  • entropy weighting scheme proposed
  • formal specification
  • german
  • hungarian
  • idf
  • idf weighting scheme was
  • in
  • inductive logic
  • information s
  • knowledge base
  • legislat
  • machine learning
  • modal logic
  • natural language
  • natural language processing
  • negation detection
  • pattern classifi
  • pattern recognition
  • personal information
  • portuguese
  • privacy
  • privacy policy
  • purpose-based policies
  • representation in rocchio classifiers
  • requirements analysis
  • security
  • semantics
  • single-pattern matching
  • space
  • standards
  • stemmer
  • stemming for french
  • string matching
  • terms
  • the global idf and
  • the tf
  • used for text
  • vector of the feature
  • workflow

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document


  • Sebastian Zimmeck

  • Steven M Bellovin

  • Huangcun Zeng

  • G O M Yee

  • Xusheng Xiao

  • Amit Paradkar

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free