@incollection{fdi:010082404,
  title = {{Q}e{N}o{B}i : a system for {Q}u{E}rying and mi{N}ing {B}ehav{I}oral patterns [demonstration paper]},
  author = {{C}hibah, {A}. and {A}mer-{Y}ahi, {S}. and {B}erti-{E}quille, {L}aure},
  editor = {},
  language = {{ENG}},
  abstract = {{W}e demonstrate {Q}e{N}o{B}i, a system for mining and querying customer behavioral patterns. {Q}e{N}o{B}i combines an interactive visual interface, on-demand mining, and efficient topk processing, to provide the exploration of customer behavior over time. {Q}e{N}o{B}i relies on two distinct data models: a customercentric graph that represents customers with similar purchasing behaviors and is annotated with a change algebra to reflect their behavior evolution, and product-centric time series that reflect the evolution of customer purchases over time. {U}sers can query both representations along three dimensions : shape (the sketched trend of the behavior), scope (the set of customers/products of interest), and time granularity. {Q}e{N}o{B}i provides a holistic behavior exploration capability by allowing users to seamlessly switch between customer-centric and product-centric views in a coordinated manner, thereby catering to various needs. {A} demonstration of {Q}e{N}o{B}i is available at https://bit.ly/2{H}lc{O}3{S}},
  keywords = {{MONDE}},
  booktitle = {{I}nternational {C}onference on {D}ata {E}ngineering ({ICDE})},
  numero = {},
  pages = {2673--2676},
  address = {{C}hania},
  publisher = {{IEEE}},
  series = {},
  year = {2021},
  DOI = {10.1109/{ICDE}51399.2021.00301},
  ISBN = {978-1-7281-9185-0},
  URL = {https://www.documentation.ird.fr/hor/fdi:010082404},
}