Results 71 to 80 of about 79,268 (265)
Klastering Dokumen dengan Menambahkan Metadata Menggunakan Algoritma COATES
Text mining adalah proses ekstraksi pola berupa informasi dan pengetahuan yang berguna dari sejumlah besar sumber data tak terstruktur. Salah satu perkembangan text mining adalah ruang lingkup perbaikan dari pemanfaatan sebuah “side information” yang ...
Indri Nurandini, Arief Fatchul Huda
doaj +1 more source
Overcoming Drug Resistance by Paclitaxel Resistance in Triple‐Negative Breast Cancer
In the murine triple‐negative breast cancer (TNBC) model, chemotherapy effectively increases tumor neoantigen burden (TNB). Here, the study constructs a liposomal nanovaccine using antigens derived from in vitro chemotherapy‐treated paclitaxel‐resistant TNBC 4T1 cells.
Bo Chen +10 more
wiley +1 more source
Modelos clásicos de recuperación de la información
La recuperación de la información (RI, Information Retrieval en inglés) es una rama de la computación que se ocupa, como su nombre lo indica, de extraer información de documentos no estructurados (cartas, periódicos, artículos, etc.) de los cuales, a ...
Luis Gabriel Jaimes +1 more
doaj
China's Low‐Carbon Energy Transition Over the Past Two Decades: Experiences and Implications
China's low‐carbon energy transition features a brief decline and subsequent rebound in coal consumption, alongside the rapid expansion of renewable energy. This study develops a stage‐based analytical framework to explain this evolution from the perspectives of economic development, energy security, and environmental sustainability, revealing how ...
Yu Liu +3 more
wiley +1 more source
A Review of Text Corpus-Based Tourism Big Data Mining
With the massive growth of the Internet, text data has become one of the main formats of tourism big data. As an effective expression means of tourists’ opinions, text mining of such data has big potential to inspire innovations for tourism ...
Qin Li +4 more
doaj +1 more source
Text and Data Quality Mining in CRIS
To provide scientific institutions with comprehensive and well-maintained documentation of their research information in a current research information system (CRIS), they have the best prerequisites for the implementation of text and data mining (TDM) methods.
openaire +1 more source
We developed Affinity Selection Thin‐Layer Chromatography (AS‐TLC) as a method for high‐throughput screening (HTS) of compound mixtures. Furthermore, we integrated activity assays with AS‐TLC and identified a YTH domain‐containing protein 1 (YTHDC1) inhibitor. Building on this hit, we applied copper(I)‐catalyzed azide–alkyne cycloaddition (CuAAC) click
Mingchen Wang +19 more
wiley +1 more source
Text and Image Compression based on Data Mining Perspective
Data Compression has been one of the enabling technologies for the on-going digital multimedia revolution for decades which resulted in renowned algorithms like Huffman Encoding, LZ77, Gzip, RLE and JPEG etc.
C. Oswald, B. Sivaselvan
doaj +1 more source
A REVIEW ON TEXT MINING IN DATA MINING
Data mining is the knowledge discovery in databases and the gaol is to extract patterns and knowledge from large amounts of data. The important term in data mining is text mining. Text mining extracts the quality information highly from text. Statistical pattern learning is used to high quality information.
openaire +2 more sources
A Scalable Spin‐Coating Strategy for Mesoporous Gold Thin Films toward miRNA Detection
A scalable spin‐coating strategy produces uniform mesoporous Au thin films with tunable thickness and high electroactive surface area on transparent substrates. The resulting architecture enables label‐free, amplification‐free detection of ovarian cancer‐associated miRNA hsa‐miR‐200c‐3p from 1 aM to 10 pM, achieving a 1.72 aM detection limit with high ...
Aditya Ashok +8 more
wiley +1 more source

