Classifying Lung Neuroendocrine Neoplasms through MicroRNA Sequence Data Mining

Classifying Android Malware through Subgraph Mining

Digestive System Mixed Neuroendocrine-Non-Neuroendocrine Neoplasms.

Mixed neuroendocrine-non-neuroendocrine neoplasms (MiNEN) are a heterogeneous subgroup of rare neoplasms that represent about a third of all poorly differentiated neuroendocrine carcinomas (PDNEC). MiNEN combine a neuroendocrine component, usually a PDNEC, and a non-neuroendocrine component, generally an adenocarcinoma, both accounting for at least 30% of the neoplasm. MiNEN are classified as h...

PANCREATIC NEUROENDOCRINE NEOPLASMS (pNENs)

Pancreatic neuroendocrine neoplasms (pNENs) are relatively rare lesions that have been increasing in incidence over the past few decades largely because of the diagnosis of pancreatic incidentalomas on cross-sectional imaging. Most of these tumors are nonfunctioning presenting with symptoms secondary to mass effect, metastatic disease or as incidental findings. Diagnostic workup aims to assess ...

Augmented Statistical Models for Classifying Sequence Data

Sequence data mining

Many interesting real-life mining applications rely on modeling data as sequences of discrete multi-attribute records. Existing literature on sequence mining is partitioned on application-specific boundaries. In this article we distill the basic operations and techniques that are common to these applications. These include conventional mining operations like classification and clustering and se...