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- W2898029295 abstract "There has been tremendous work in the field of HC, and it’s not possible to cover everything. In this book, we discussed about various problems that are associated with LSHC along with different approaches to solve it. Specifically, two of the chapters are devoted to discuss in detail about hierarchical inconsistencies and feature selection problems. We also discussed about the MTL learning paradigm that leverages multiple hierarchies classifying the similar types of data. Overall, our main intention in this book was to provide comprehensive overview about the LSHC literature that we believe would be helpful for the readers with intermediate expertise in data mining having a background in classification (supervised learning). We have put an extra effort to present the contents in as simplistic manner as possible, providing examples and figures whenever we felt it would be helpful in understanding the concepts. We hope that readers enjoyed reading this book and gained substantial knowledge about advancements in LSHC field." @default.
- W2898029295 created "2018-10-26" @default.
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- W2898029295 date "2018-01-01" @default.
- W2898029295 modified "2023-09-27" @default.
- W2898029295 title "Conclusions and Future Research Directions" @default.
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- W2898029295 doi "https://doi.org/10.1007/978-3-030-01620-3_6" @default.
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