Validating Business Problem Hypotheses: A Goal-Oriented and Machine Learning-Based Approach

Robert Ahn, Sam Supakkul, Liping Zhao 0001, Kirthy Kolluri, Tom Hill, Lawrence Chung. Validating Business Problem Hypotheses: A Goal-Oriented and Machine Learning-Based Approach. In Jinpeng Wei, Liang-Jie Zhang, editors, Big Data - BigData 2021 - 10th International Conference, Held as Part of the Services Conference Federation, SCF 2021, Virtual Event, December 10-14, 2021, Proceedings. Volume 12988 of Lecture Notes in Computer Science, pages 17-33, Springer, 2021. [doi]

@inproceedings{AhnSZKHC21,
  title = {Validating Business Problem Hypotheses: A Goal-Oriented and Machine Learning-Based Approach},
  author = {Robert Ahn and Sam Supakkul and Liping Zhao 0001 and Kirthy Kolluri and Tom Hill and Lawrence Chung},
  year = {2021},
  doi = {10.1007/978-3-030-96282-1_2},
  url = {https://doi.org/10.1007/978-3-030-96282-1_2},
  researchr = {https://researchr.org/publication/AhnSZKHC21},
  cites = {0},
  citedby = {0},
  pages = {17-33},
  booktitle = {Big Data - BigData 2021 - 10th International Conference, Held as Part of the Services Conference Federation, SCF 2021, Virtual Event, December 10-14, 2021, Proceedings},
  editor = {Jinpeng Wei and Liang-Jie Zhang},
  volume = {12988},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-96282-1},
}