?New York at its most charming? (New York Times) is the setting for Volume 2, first published in 1941. One hundred years earlier, a beautiful guest had disappeared from the wealthy Vauregard household, along with the second volume in a set of the collected works of Byron. Improbably enough, both guest and book seem to have reappeared, with neither having aged a day. The elderly Mr. Vauregard is inclined to believe the young woman's story of having vacationed on an astral plane. But his dubious niece calls in Henry Gamadge, gentleman-sleuth, expert in rare books, and sufficiently well-bred?it is hoped?to avoid distressing the Vauregard sensibilities. As Gamadge soon discovers, delicate sensibilities abound chez Vauregard, where the household includes an aging actress with ties to a spiritualist sect and a shy beauty with a shady (if crippled) fianc?. As always in this delightful series, Gamadge comes up trumps, but only after careful study of the other players? cards.

The three volume proceedings LNAI 11051 - 11053 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2018, held in Dublin, Ireland, in September 2018. The total of 131 regular papers presented in part I and part II was carefully reviewed and selected from 535 submissions; there are 52 papers in the applied data science, nectar and demo track. The contributions were organized in topical sections named as follows: Part I: adversarial learning; anomaly and outlier detection; applications; classification; clustering and unsupervised learning; deep learning; ensemble methods; and evaluation. Part II: graphs; kernel methods; learning paradigms; matrix and tensor analysis; online and active learning; pattern and sequence mining; probabilistic models and statistical methods; recommender systems; and transfer learning. Part III: ADS data science applications; ADS e-commerce; ADS engineering and design; ADS financial and security; ADS health; ADS sensing and positioning; nectar track; and demo track.